Asset Valuation Techniques

🛑 The Biggest Silent Killer of Mining Projects: Overconfidence in the Orebody 🛑 Every mine plan looks good... on paper. Production targets are met. Budgets approved. Equipment ordered. Everyone feels good until the mine starts underperforming. Month after month. Quarter after quarter. And the excuses pile up:   “Unexpected dilution” “Poor ground conditions” “Operational delays”   But here’s the truth nobody wants to say out loud:   The real failure happened years earlier, when we trusted the orebody model more than we should have. Mining is the only industry I know that builds billion-dollar businesses on statistical guesses... and then gets surprised when reality doesn't cooperate. Geological uncertainty is not a rounding error. It’s not a minor risk. It's shown to be the major contributor to project failures. It’s the foundation your entire operation stands on, or collapses on. And yet, companies build LOM plans assuming the estimated block model is the ground truth. Why? Because it's easier to assume certainty than to quantify uncertainty and plan for it. Because spreadsheets are cleaner when you don’t have multiple scenarios. Because no one wants to explain to the board that the “high-confidence” resource might still let them down. But pretending the orebody is perfect doesn't protect you. It just delays the realization.   🔍 Here’s what actually happens: Resource models, even “measured” ones, have built-in errors, including grade, volume, and continuity errors. Estimation methods like Kriging smooth out the grades, where high-grades (where we make money!) are underestimated, and low-grades are overestimated. Mine plans are optimized assuming every block behaves exactly as estimated. Operations find out the hard way that Mother Nature didn’t read the single 3D model.   🔴 And the cost? Missed production targets. Inability to control contaminants at the plant. Cash flow shortfalls. Poor reconciliation. Erosion of investor trust. Bad CAPEX decisions. Inability to fulfill contracts.   All because we decided to ignore the geological uncertainty!   ✅ What actually works? Quantify uncertainty, early and often. Simulate multiple orebody realizations that reproduce the local variability under the ground instead of relying on a single “best guess.” Optimize the strategic mine plan looking at all simulations. This will ensure you have integrated risk-management, prioritizing less risky, yet rich, areas early on till more information is available for later project stages. Report the production schedules probabilistically.   Mining doesn’t fail because it’s inefficient. It fails because it assumes the earth will behave the way a model says it should. And when that assumption breaks, everything else does too. Maybe it’s time we stop treating geological uncertainty as a technical inconvenience. It’s the core business risk, and facing it in advance is the only way we’ll stop falling short. #Uncertainty #Risk #ResourceModel #MinePlanning #Stochastic

If you think valuation is just DCF and P/E ratios you’re missing 80% of the real picture. 7 valuation techniques every analyst must master: [1] Discounted Cash Flow (DCF) The classic. Forecast free cash flows → pick the discount rate → discount everything back. If your assumptions are weak, your valuation collapses. [2] Comparable Company Analysis (Comps) Find peers → pull their trading multiples → apply them. This shows how the market values businesses like yours. [3] Precedent Transaction Analysis Study past deals in the same sector → identify transaction multiples → apply. Essential for M&A and deal valuations. [4] Asset-Based Valuation What are the assets worth today? Liquidation value or replacement cost. Works well for asset-heavy companies. [5] Sum-of-the-Parts (SOTP) Perfect for conglomerates. Value each business unit separately → add them all → adjust for holding structure. Simple framework, deep execution. [6] LBO Analysis Private equity’s decision engine. Estimate returns (IRR) using leverage, cash flows, and exit multiples. If the IRR misses the benchmark → no deal. [7] Earnings Multiples The fastest method. Pick an earnings metric (EBIT, EBITDA, Net Income) → find peer multiples → apply. Quick, practical, widely used. If you want to grow in finance, don't just learn valuation terms. Learn how each technique tells a different story about value. ----- Jeetain Kumar, FMVA® Founder, FCP Consulting Helping students break into finance and consulting PS: If you want to start your career in finance, check the link in the comments to book a 1:1 session with me #finance #cfa #investment #valuations #consulting

Valuing an early stage start-up isn’t an exact science—it’s more of an art form! Had a great discussion with the team today about how to value a startup—a critical step for securing funding, making equity decisions, and setting a strategy. In our work supporting clients raising investment, we often encounter the unique challenges of valuing startups, especially in the early stages when financials are limited. But getting this right is essential—it sets the foundation for funding conversations. We focused on three key methods that bring structure to the process: 1️⃣ VC Method: A favourite for investors—estimate the potential exit value and work backwards to determine today’s valuation. 2️⃣ Revenue Multiples (EV/R): Benchmarks revenue compared to similar companies—helpful when there’s some revenue to work with. 3️⃣ Comparables: Look at startups with similar profiles to use their valuations as a guide. More complex methods like EBITDA multiples, EV/R, and DCF come into play when the company is profitable or further along the lifecycle curve. EBITDA multiples can be relevant, but startups often don’t have the steady profits needed to apply this effectively. DCF (Discounted Cash Flow) is even trickier—it relies heavily on accurate forecasts, which are hard to pin down for early-stage businesses. The simpler approaches (like Berkus Method or Balance Scorecard) can be helpful, but they lack the rigour required for serious investment conversations. Understanding which method applies and when—and getting guidance from someone who knows this space. Valuation isn’t just about crunching numbers—it’s about applying the right framework to the right context. 🚀 #StartupValuation #Entrepreneurship #RaisingCapital #VC #Investment #Newableadvice

💡 How Do You Value a Business? It Depends on What You're Really Trying to See. As a CFO, I get asked this question all the time: “What’s this business worth?” My answer? It depends on the method, the assumptions, and the purpose. Because business valuation isn’t just a technical exercise. It’s a lens. And each lens gives you a different angle. In my latest guide, I’ve broken down the five most widely used valuation methods and when each one matters most: 🧮 1. Discounted Cash Flow (DCF) This method gives you the intrinsic value based on future free cash flows. It’s powerful but also sensitive to assumptions. Miss the WACC or terminal growth rate, and the whole model skews. ✅ Best for: Long-term investors who believe in the fundamentals ⚠️ Watch out for: Overconfidence in your forecast 📊 2. Comparable Company Analysis (CCA) This one is about market mood. You look at peers, ratios like EV/EBITDA or P/E, and ask: What are similar businesses worth today? ✅ Best for: Fast benchmarking and market-aligned estimates ⚠️ Watch out for: Differences in business models or risk profiles 🤝 3. Precedent Transaction Analysis (PTA) Here, we look at recent M&A deals to benchmark value. Think of it as a real-world yardstick. ✅ Best for: Negotiating in M&A scenarios ⚠️ Watch out for: Unique deal terms or outdated data 🏗️ 4. Asset-Based Valuation Strip away the forecasts and trends. This approach values the net assets, which are what you own minus what you owe. ✅ Best for: Asset-heavy businesses or liquidation scenarios ⚠️ Watch out for: Undervalued intangibles and obsolete assets 🧠 5. Real Options Valuation This is the most advanced and strategic approach. It values flexibility in your decisions based on how the future plays out. ✅ Best for: High-risk, high-reward projects with optionality ⚠️ Watch out for: Overengineering a model based on hypotheticals ✅ The best valuation method? It depends on the question you’re trying to answer. Are you selling? Investing? Raising capital? Planning for growth? Each scenario deserves a tailored lens. 📥 Download the full guide to see a practical breakdown of each method, including pros, cons, and where I’ve seen them applied effectively. 💬 What valuation method do you rely on most, and why? #CFOInsights #BusinessValuation #DCF #ComparableCompanies #MergersAndAcquisitions #StrategicFinance #ExecutiveLeadership #CorporateValuation

Interested in investment banking careers? You'll need to master valuation. These are the techniques you'll need to know. Whether you’re interested in investment banking, private equity, or asset management, understanding valuation is critical. If you can’t confidently explain these methods, you won’t make it past interviews. Here’s your breakdown: 📊 Comparable Company Analysis (Trading Comps) – Valuing a company by comparing it to publicly traded peers. I. Key multiples – Enterprise Value/EBITDA, Price/Earnings, P/B (Price-to-Book), P/S (Price-to-Sales) (varies by industry). II. Industry-specific multiples: a. Tech → EV/Revenue (due to high growth). b. Banks → P/B (assets and book value matter most). c. Real Estate → Price/Net Asset Value, Cap Rates (focus on property values). 📈 Precedent Transactions (Deal Comps) – Using past Mergers & Acquisition deals to value a company. I. Transaction structure matters – Cash vs. stock vs. hybrid (affects synergies and risk). II. Premiums paid in M&A – Buyers usually pay 20-40% over market price to acquire control. 💰 Discounted Cash Flow (DCF) Analysis – Valuing a company based on future cash flows. I. FCFF (Free Cash Flow to Firm) vs. FCFE (Free Cash Flow to Equity) – FCFF values the entire firm; FCFE values just the equity portion. II. WACC (Weighted Average Cost of Capital) – Discount rate for FCFF, reflecting cost of debt & equity. III. Terminal Value (Gordon Growth Model (perpetual growth) and Exit Multiple Method (based on comps)). IV. Beta & Cost of Equity (CAPM Model) – Measures risk relative to the market. 🛠 Leveraged Buyout (LBO) Analysis – How private equity firms evaluate deals. I. How PE firms structure LBOs – Using high debt to amplify returns. II. Sources & Uses table – Shows where financing comes from and how it’s used. III. Key drivers of IRR (Internal Rate of Return) & MOIC (Multiple on Invested Capital) – Entry valuation, leverage, operational improvements, and exit multiple. IV. Debt structures in LBOs – Senior debt, mezzanine, PIK (payment-in-kind), high-yield bonds. 🏗 Sum-of-the-Parts (SOTP) Valuation I. Used when a company operates in multiple segments. II. Each business unit is valued separately, then summed to get total firm value. ⚖ Accretion/Dilution in M&A Deals – Does the deal increase or decrease EPS? I. Accretive deal – Increases EPS (often cash or low P/E stock deals). II. Dilutive deal – Decreases EPS (often high P/E stock deals). Valuation is both an art and a science. The best finance professionals don’t just plug numbers into models—they understand what drives value. Which valuation technique do you want to master? Follow me, Afzal Hussein, for daily tips on breaking into finance 10x faster. #Careers #Finance #Students

Aluminium the (already) Next Copper ! What's unfolding in aluminium looks less like a temporary squezze and more like a lasting shift to structual tightness... The metal is extending its rally, with LME prices pushing back toward multi.year highs near USD 3600/t as the market reprices a deepening supply shock tied to Middle East disruptions. What began as a logistics squezze through the Strait of Hormuz has morphed into a tangible production hit, with key Gulf smelters in the UAE, Bahrain and Qatar operating well below capacitiy... Roughly 3 Million tons of annualized capacity is impaired, a material share of globally traded supply, tightening prompt availability and reinforcing the bullish price structure evident in the steady uptrend... One of the most powerful and underappreciated drivers of aluminum demand is the accelerating substitution of aluminum for copper ! As copper prices continue to rise, aluminum substitution is becoming a necessity for business survival... The copper-to-aluminum price ratio (See Copper-to-Aluminium Price Ratio Graph below, 2015-present) has expanded to around 4.3x, the highest level in nearly two decades, up from its trough of 1.7x in 2005 ! Aluminum-for-copper substitution has now been elevated to national strategy in China : In March 2025, the Ministry of Industry and Information Technology (MIIT), together with nine other government agencies, released the Implementation Plan for the High-Quality Development of the Aluminum Industry (2025–2027), explicitly promoting “using aluminum to save copper...” In a world increasingly defined by energy scarcity rather than by capital scarcity, China’s power-centric advantage constitutes a key moat for its major aluminum smelters..! Are you ready to invest in Chinese Smelters ? Source : Bloomberg (Chart), PCA-Research

Are You Truly Measuring Energy Savings Scientifically? In any ISO 50001-compliant Energy Management System (EnMS), Establishing an Energy Baseline (EnB) and selecting Energy Performance Indicators (EnPIs) are the absolute foundation. Without them, you cannot reliably prove energy savings or demonstrate continuous improvement. Let us see clear breakdown of these critical steps: 🔹 1. Establishing the Energy Baseline (EnB) The EnB is your quantitative reference point: "How much energy would we have used today if no improvements had been made?" Data Collection: Gather at least 12 months of historical data (energy consumption + relevant variables like production volume, degree days) to capture seasonality. Normalization: Avoid simple static baselines (e.g., last year’s total). Identify and account for key drivers (weather, output levels) that significantly affect consumption. Regression Analysis (Best Practice): Use linear or multivariable regression to build a model (e.g., y = mx + c). This lets you calculate expected vs. actual energy use under current conditions. 🔹 2. Selecting Energy Performance Indicators (EnPIs) EnPIs should be hierarchical — from facility-wide down to specific equipment ,and focus on efficiency, not just total consumption. A. High-Level (Facility-Wide) Energy Use Intensity (EUI): Total energy ÷ floor area (kWh/m²/yr) — ideal for buildings. Energy Intensity (EI): Total energy ÷ production output (e.g., kWh/unit) , standard in manufacturing. B. System & Equipment Level (Significant Energy Users) Chillers: kW/ton or COP Boilers: Combustion efficiency (%) or steam intensity Compressed Air: Specific power (kW/100 cfm) C. Productivity Metrics Link energy to value: kWh/kg of product or energy cost per unit sold. The Process in a Nutshell Identify Significant Energy Users (SEUs) Determine key driving variables Build the EnB using regression on historical data Choose EnPIs that track true efficiency Getting these steps right turns energy management from guesswork into data-driven success. And a final question for energy managers, sustainability leaders, and facility engineers: what has your experience been with baselines and EnPIs? Have you encountered common pitfalls, or found go‑to tools, for regression analysis? If you have a question, insight, or story to share, feel free to comment. #EnergyManagement #ISO50001 #EnergyEfficiency #Sustainability #EnMS #EnergyPerformance #NetZero

Most Founders Get Their Valuation Wrong (Here's How VCs Actually Calculate It) I've sat through hundreds of pitch meetings where founders throw out valuations based on: What their competitor raised A number that "feels right" Anchoring high and hoping for the best Meanwhile, VCs aren't guessing. They're running the same valuation models they've used for decades. Today, I'm sharing the 5 methods VCs use to value startups - and giving you the exact calculator that does the math for you. -- The 5 Valuation Methods Every Founder Should Know: 1) Revenue Multiple Method The simplest approach: Your annual revenue × industry benchmark multiple. If SaaS companies at your stage trade at 5-8x revenue, that's your range. Fast, market-based, no guesswork. 2) EBITDA Multiple Method Values your company based on operating profit after core expenses. VCs multiply your EBITDA by 15-40x for growth companies. Perfect for startups approaching or at profitability. 3) DCF (Discounted Cash Flow) Method The mathematical one: What's all your future cash flow worth in today's dollars? VCs apply a 25-40% discount rate because startups are risky and future money is worth less than money today. 4) Cost to Build Method How much would it cost someone to replicate your startup from scratch today? Development, hiring, marketing, operations - everything. This sets your valuation floor. 5) LTV-Based Method For subscription businesses and marketplaces: Current users × Lifetime Value (LTV) × growth multiple. Perfect when you have clear customer metrics and predictable behavior. --- What Most Founders Don't Realize is: You shouldn't use just ONE method. VCs triangulate across multiple approaches to find your real valuation range. That's why I built a Startup Valuation Calculator that: ✅ Calculates your valuation using all 5 methods instantly ✅ Projects your 3-7 year exit valuation ✅ Models investor returns (IRR, ROI, equity dilution) ✅ Generates a "football field" graph showing your valuation range ✅ Requires ZERO finance background Simply plug in: - Your revenue - Growth rate - Customer metrics And get five data-driven valuations in 15 minutes. Want the calculator? Drop "STARTUP" in the comments and I'll send you the complete valuation tool. #Startups #Fundraising #VentureCapital #Valuation #Founders

WHEN DO YOU STOP THE PIT AND GO UNDERGROUND? (Part 2) In the previous post, we explored one of the toughest questions in mine planning: “When do we stop the pit and start going underground?” That post lit up with ideas, stories, and great debate — and one question kept coming up: 👉🏽 What really dictates the switch? Let’s go deeper — into the logic, the curves, and the math that reveal when value changes hands. Before we look into the governing equations, let's remind ourselves of the mine economics! ⚒️ Open Pit Economics — The Law of Diminishing Depth At shallow depths, the pit is king. Big equipment, bulk movement, quick tonnes. But as you go deeper, the walls open up, waste explodes, and the strip ratio skyrockets. The value of an open pit mine at any depth d is governed by this equation; V_{pit}(d) = R(d) - [C_{mining}(d) + C_{waste}(d) + C_{process}] At some point, every extra tonne of ore comes with mountains of waste — and your profits start slipping away. 🏗️ Underground Economics — The Slow Starter That Wins Deep Underground begins where open-pit struggles. Yes, it’s expensive at first — declines, ventilation, power, access — but once inside, you mine only the valuable material. V_{UG}(d) = R(d) - [C_{dev}(d) + C_{stoping}(d) + C_{UGGA} + C_{backfill}] At first, UG is costly. Then steady. While the pit curve falls, the underground curve rises — until they finally meet. 💡 The Crossover — Where Value Changes Hands This is the magic point planners search for: V_{pit}(d_t) = V_{UG}(d_t) At that depth dₜ, both methods deliver the same NPV. Above it, open pit wins. Below it, underground takes over. It’s the “handshake” between two worlds — where the pit bows out, and underground takes the crown. 🧭 The Planner’s Secret Never stack up totals—they hide ugly benches. Judge the next bench only: if pushing the pit one level deeper won’t pay for its extra waste, haul, dilution, and delay, while the first underground stopes do pay, you’ve hit the transition. That’s the moment smart planners stop digging and start tunnelling. ⚙️ How World-Class Planners Make the Call 1️⃣ Run Whittle or Pseudoflow with a UG shadow (exclude access & crown pillar). 2️⃣ Compare incremental shells — not just “ultimate pit.” 3️⃣ Integrate pit + UG schedules to protect mill feed. 4️⃣ Test sensitivities (±20%) on slopes, prices, and delays. 5️⃣ Plot both curves — where they cross, the numbers speak for themselves. 💬 In Short The pit says, “I can still go deeper.” The underground replies: “But I can do it smarter.” Your job as a planner is to determine where value outweighs volume. 🧮 I’ve built a Transition Calculator (Excel) that visualises this crossover — just enter your pit & UG costs, NSR, and slope, and it shows where the switch happens. Join our toolkit and download the template here! 👇🏽https://lnkd.in/dv8Ney28 Or share this post to your network to get the template for free. Let me hear your thoughts! #MinePlanningClarityToolkit

Mining companies should treat resource drilling like option portfolios. Conventional drill planning is one of the largest sources of value destruction in the sector. A mining company that hedges its gold price or negotiates a streaming deal is acting like a bank. When that same company plans a $10m drilling program, it does not see it as an investment and thus underestimate the full cost of the program and its built in inefficiencies.  The most capital-intensive decision in the resource cycle is routinely made without the analytical frameworks that govern far smaller allocations of shareholder capital. The trouble starts with the curve of diminishing returns. Every resource conversion program follows one. The first holes generate enormous value, upgrading geological knowledge from speculation to confidence. Each subsequent hole contributes less. As a result, additional drilling confirms what is expected without changing a single decision the company will make. That’s how every metre drilled consumes resources that could create more value if drilled elsewhere. Real options theory explains it perfectly. The framework treats each drill hole as a purchased option on geological information. The cost is fixed. The upside is that a single hole can transform the economics of a deposit. But like any option, its value depends on what you already know. The first hole into an unexplored zone is a cheap call on enormous potential. The fiftieth into a well-defined block is an expensive premium paid for negligible incremental knowledge. The mining industry buys both at the same price The chain of resource classification makes the stakes concrete. An inferred ounce of gold carries a fraction of the market value assigned to a measured one. Each upgrade unlocks financing gates that were previously shut: streaming deals, project debt, and bankable feasibility. The drilling required to achieve each upgrade is the premium paid for that financial option. Pay it efficiently, and you create extraordinary leverage. Overshoot and you consume budget that could have opened floodgates at another opportunity. Objectivity's DRX was built around understanding and communicating the value of decreased returns - where many AIs tell you where to drill, we also tell you when it may be time to stop drilling. By generating multiple optimised drill plans across a range of budgets, and capabilities (e.g U/G vs surface, wedged vs. actively deviated)  and plotting them as an investment curve, it makes the options structure of a drilling program explicit. The steepest part of the curve shows where each dollar generates maximum classification uplift. The flattening region shows where you are overspending. The distance between an existing plan and DRX shows how much value conventional planning leaves behind - we call this the value triangle. Meet us at PDAC to learn more. Booth 623.