Commodity Return Calculator
The formula
What the commodity return tells you
Exactly what commodity return earned: total return, the annualised CAGR that makes it comparable, and the split between price gain and income.
Calculation: Total return = (sell + income − buy) ÷ buy; CAGR = ((sell + income) ÷ buy)^(1/years) − 1. Enter your inputs and every substitution is shown below the result.
Reading the result
Compare with the boring alternative over the same window — the verdict bands anchor to long-run market returns; income-heavy gains are usually steadier than price-only ones.
Rules of thumb: Long-run real equity return sits near 6–7 % nominal CAGR plus inflation; bonds run 2–4 points lower.
Limitations and best practice
Ignoring the timing of income (reinvested vs spent) can overstate a CAGR by a few tenths; dividends spent as cash belong outside the ending value.
This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Frequently asked questions
Why does CAGR differ from average yearly return?
Are taxes included?
Source & methodology
Time-weighted return arithmetic per CFA Institute conventions.
How Commodity Return works — and what your result really means
You are comparing options that arrive in different shapes, and Commodity Return is the level playing field that makes them comparable. There are plenty of pages about Commodity Return; almost none of them show the working. This one does: the formula, every input, a fully computed example, and a sensitivity analysis calculated live from this engine’s own defaults.
The number itself is the easy part. What takes judgement is knowing which inputs are facts in your situation and which are guesses wearing a decimal point — a distinction this page makes explicit for every field above.
In plain terms, Commodity Return answers the question "Total return?". The measurement matters because it converts a situation that feels complicated — several inputs pulling in different directions — into a single number you can act on. Within Investing & Markets, Alternative Investments is the context where this figure is quoted most often, and professionals treat it as a first-pass screen rather than a verdict.
Nothing below is stock text pasted around a number: the worked example computes total return = 172.96% from this tool’s own defaults, and the sensitivity section ranks the inputs that move the result — Buy price / invested first, at ≈17.5 % of the headline for a ten-percent error either way in that input — which is the thread the rest of this guide pulls on.
Every input in Commodity Return, and what it does to the answer
One formula, published in full: Total return = (sell + income − buy) ÷ buy; CAGR = ((sell + income) ÷ buy)^(1/years) − 1. Anything you can read, you can reproduce in a spreadsheet, and that reproducibility is the whole point of printing it rather than hiding it behind a button.
Buy price / invested ($) (example value 12,500) is a plain measured quantity — the unit shown in the label is the unit the formula expects. Use the figure exactly as the source document states it, not a rounded memory of it — an omitted line is the classic silent error.
Sell price / value now ($) (example value 33,500) is a measured number in the unit named by the label; the formula does not convert for you. Use the figure exactly as the source document states it, not a rounded memory of it — an omitted line is the classic silent error.
Holding period (years) (example value 8) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. If the period is partial, decide whether you mean elapsed or planned time and keep that meaning across every field.
Income received over the hold ($) (example value 620) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. If your source quotes a figure before and after some deduction, decide which one the formula wants and be consistent for every field.
Commodity Return on the example inputs: the complete substitution
Abstract formulas are hard to trust, so here is the complete substitution using the default inputs, written the way an examiner would want it. Starting figures: Buy price / invested ($), Sell price / value now ($), Holding period (years), Income received over the hold ($). The endpoint of that chain is 172.96% of total return, sitting in the “Strong annualised gain — well above broad-market history” band.
- Ending value incl. income = $33,500.00 + $620.00 = $34,120.00
- Total return = (34,120.00 − 12,500.00) ÷ 12,500.00 = 172.96 %
- CAGR = (34,120.00 ÷ 12,500.00)^(1/8.0) − 1 = 13.37 % a year
Annualised (CAGR) — 13.37%. Compare it against the main result of 172.96% before drawing conclusions.
Net profit — $21,620.00. This is the number experienced users quote when the headline alone would mislead.
Value multiple — 2.73 ×. Compare it against the main result of 172.96% before drawing conclusions.
Income share of gain — 2.9%. Compare it against the main result of 172.96% before drawing conclusions.
Keep this worked example open while you enter your own figures: matching the shape of the substitution is the fastest way to spot a unit or convention mistake.
The Commodity Return corridor: your result across a realistic band
Read this table as the practical error bar on the headline figure. It answers the question people actually have after seeing a single number: how wrong could this be if the main input is off by ten or twenty percent?
| Buy price / invested setting | Total return |
|---|---|
| 80 % of the example value | 241.20% |
| 90 % of the example value | 203.29% |
| example inputs | 172.96% |
| 110 % of the example value | 148.15% |
| 120 % of the example value | 127.47% |
The corridor runs from 127.47% to 241.20% across that band — which is the range worth planning inside rather than the single 172.96% point estimate. Reproduce it in the form above by editing Buy price / invested alone; the substitution steps will follow your figures exactly.
Sensitivity: which inputs change Commodity Return the most
Nobody should have to guess which input matters. The engine was re-run once per field below — ten percent up, ten percent down, everything else frozen — and the results ranked by how far they moved the total return. For Commodity Return the ranking is measured rather than guessed, and it belongs to these defaults: shift the starting point and the order can shift with it.
- Buy price / invested: ten percent up gives 148.15%, ten percent down gives 203.29% — ≈17.5 % of the total return either way
- Sell price / value now +10 % → Commodity Return = 199.76% · −10 % → 146.16% (the total return shifts ≈15.5 %)
- Income received over the hold +10 % → Commodity Return = 173.46% · −10 % → 172.46% (the total return shifts ≈0.3 %)
Buy price / invested is the dominant lever here: ten percent either way moves the result by about 17.5 %, from 148.15% to 203.29%. Spend your verification effort there first, and treat Sell price / value now as the second priority (≈15.5 % per ten percent). The remaining fields can sit at safe defaults without materially changing the answer — knowing which is which is what separates a careful calculation from an anxious one.
Is your Commodity Return good — reading the result bands
The value above only becomes useful the moment you know what it is being measured against. The default case lands in the “Strong annualised gain — well above broad-market history” band, and bands are deliberately wide because real situations overlap. The sensitivity list shows how far a modest input error moves you along that ladder: for Buy price / invested, ±10 % covers 148.15% to 203.29%. The practical reading rules: compare against your own history before comparing against other people; treat band boundaries as zones, not walls — one point on the wrong side of a threshold rarely changes a real outcome; and when a companion output contradicts the headline, believe the pair.
Placing this figure in context: calculators of this kind differ less in arithmetic than in what they choose to ignore. This one keeps Buy price / invested ($) explicit so that the omissions are visible rather than hidden in a preset.
The errors that quietly break a Commodity Return figure
Ignoring the timing of income (reinvested vs spent) can overstate a CAGR by a few tenths; dividends spent as cash belong outside the ending value. This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Feeding best-case scenarios and calling them plans. Run the number at least at expected and at pessimistic inputs; the gap between them is the actual risk you are accepting.
Attention is also misallocated between fields. Having measured this engine, we can say where it belongs: Buy price / invested first, everything else second.
Another is comparing across contexts: a Commodity Return computed with one set of conventions should never be lined up against a figure computed with another. Check the inputs behind both before ranking them.
Commodity Return verification checklist
- Re-run the calculation with a ±10 % stress on the two most sensitive inputs.
- Note the date and the inputs beside the number so the figure can be audited later.
- Check Buy price / invested before anything else: it is the measured dominant input, ≈17.5 % of Commodity Return per ten percent.
- Record the date and the inputs alongside the number so future-you knows what was assumed.
- State, in one sentence, which convention each rate, unit or period in the form is using.
- Confirm the answer against one independent method or published benchmark for Commodity Return.
How to use the Commodity Return tool properly
The tool does the arithmetic; the routine below is what makes the arithmetic trustworthy. Five steps, a minute total — and afterwards you will know not just what the number is, but which assumption produced it.
Step 1 — gather before you type. Commodity Return depends on buy price / invested ($), sell price / value now ($), holding period (years), income received over the hold ($). Collect them from a source document — a statement, a report, an invoice, a log — rather than from memory, because recalled inputs are the single largest cause of wrong results. The test of a good estimate is not that it feels right but that it changes what you do.
Step 2 — enter the conservative case first. Resist the flattering scenario. Type the inputs you would defend in front of a sceptical reader, read the Total return (172.96% for the example values), and note the verdict band. If a result feels obviously right, that is the moment to check the inputs hardest.
Step 3 — measure what deserves measuring. The ranked levers above tell you where a careful figure pays off. Everything else can stay approximate, which is a licence to stop hunting for data you do not need. One decimal place more than your data supports is one decimal place of fiction.
Step 4 — ask what would have to be true. Take the result you want and work backwards through the inputs until you find the assumption that produces it; then decide honestly whether that assumption is defensible. When two sources disagree, it is almost never the arithmetic that differs.
Step 5 — write the one-line memo. “Total return = 172.96% on this date, from these inputs.” That line is the entire deliverable; everything else on this page is how you earned the right to write it. Most surprises in numbers are surprises about inputs, not about formulas.
Who actually uses Commodity Return — and when
Investing & Markets arguments end at arithmetic or they do not end. Commodity Return is the arithmetic: 172.96% on the example inputs, reproducible by anyone who types the same numbers. The test of a good estimate is not that it feels right but that it changes what you do.
Used properly this is a five-minute filter that saves weeks. Compute Commodity Return, reject what fails, and only then bring in the expensive analysis for the survivors. The fastest sanity test is to guess the answer first and see how far the calculation disagrees.
Nothing here is stored or transmitted, so the habit of checking is free: open the page, re-enter current figures, compare with the number you saved last time. A calculation you cannot explain to somebody else is a calculation you cannot defend.
The questions that come up most about Commodity Return
What affects Commodity Return the most?
The short answer: Buy price / invested. The longer answer is the sensitivity table on this page, where every numeric input was probed by ten percent and the total return recalculated — Buy price / invested moved it furthest, by roughly 17.5 % (148.15% to 203.29%).
Which matters more: sell price / value now or buy price / invested?
Buy price / invested, by a factor of about 1.1. Concretely: ten percent on Buy price / invested is worth ≈17.5 % of Commodity Return, the same nudge on Sell price / value now only ≈15.5 %. That ranking is re-computed for each page from that page’s own defaults.
What is a typical Commodity Return?
There is no honest universal average for Commodity Return, but there is a reference point: the defaults on this page produce 172.96% (Strong annualised gain — well above broad-market history). Replace the inputs with your own and compare — that comparison is the useful meaning of “typical”.
How do I calculate Commodity Return by hand?
Use the stated model — Total return = (sell + income − buy) ÷ buy; CAGR = ((sell + income) ÷ buy)^(1/years) − 1 — and substitute in the order the tool prints (it starts from Ending value incl. income = $33,500.00 + $620.00 = $34,120.00). On the example inputs the hand route lands on 172.96%, exactly what the calculator shows. A spreadsheet reproduces it in two or three cells; doing it once by hand is what makes the automated answer trustworthy.
What happens to Commodity Return if buy price / invested changes by 10 %?
Try it in the form above and the printed substitution will follow you; the pre-computed answer for the defaults is 148.15% to 203.29% across the ten-percent probe, i.e. ≈17.5 % sensitivity on the total return.
Is the Commodity Return result of 172.96% good or bad?
The tool answers “what”, not “whether”: 172.96% carries the verdict “Strong annualised gain — well above broad-market history” for the default case, which is a starting interpretation rather than a verdict on your situation. Re-run with your own figures and compare the bands.
Does Commodity Return account for fees and taxes?
Only what you put in. Fees belong inside Buy price / invested ($) where they shrink returns before compounding touches them; taxes are outside the scope of a pre-tax Commodity Return and should be layered on top before decisions.
Can I predict future returns with Commodity Return?
No tool predicts; Commodity Return computes implications. Use it to ask "if these inputs hold, what follows" — then stress the assumptions.
Why does CAGR differ from average yearly return?
CAGR compounds — it is the single steady rate that turns the start into the end, while arithmetic averages flatter volatile paths.
Are taxes included?
No, this is the pre-tax picture; subtract tax drag on gains and income before comparing with a tax-sheltered alternative.
Do I need an account to use this Commodity Return calculator?
No, and no data leaves the tab. The engine runs in the page itself, which is why the worked example, the bands and the sensitivity ranking all respond instantly to your keystrokes.
Glossary for Commodity Return
- Annualised (CAGR)
- 13.37% for the Commodity Return worked case; it sits next to the main result because it carries context the headline leaves out.
- Net profit
- $21,620.00 for the Commodity Return worked case; it sits next to the main result because it carries context the headline leaves out.
- Value multiple
- 2.73 × in the default Commodity Return calculation — one of the secondary figures an experienced reader checks before trusting the primary number.
- Total return
- The primary output of this tool: 172.96% for the default inputs, computed exactly from Total return = (sell + income − buy) ÷ buy; CAGR = ((sell + income) ÷ buy)^(1/years) − 1.
- Worked example
- The step-by-step substitution printed above, so the arithmetic can be re-derived by hand or in a spreadsheet.
- Verdict band
- The interpretation attached to a result (“Strong annualised gain — well above broad-market history” on these inputs), which turns a bare number into a position on a scale.
- Sensitivity (±10 %)
- How far the Commodity Return moves when a single input is nudged ten percent either way; the ranked list on this page is computed live from this engine.
Where the Commodity Return model comes from
The model is published arithmetic implemented exactly as written: Total return = (sell + income − buy) ÷ buy; CAGR = ((sell + income) ÷ buy)^(1/years) − 1. Source of record: Time-weighted return arithmetic per CFA Institute conventions. Specialist software layers extra coefficients on top of the same algebra; none are hidden here, and that transparency is what makes a disagreement traceable to a specific input instead of a black box.
Nothing here replaces a qualified professional, and nothing here is approximate either — the arithmetic is exact, and the honesty is in the inputs you supply. The promise to the reader is narrow and testable: same inputs, same output, no silent rounding, and no figure presented without the formula that produced it.
Turning this Commodity Return into a decision
Run the pessimistic case before the optimistic one; an opportunity that survives the pessimistic inputs is the only kind worth pursuing.
The audience here is investors and founders comparing opportunities on equal terms. Everything you need to defend the result — formula, substitution, sensitivity, source — is printed above, so the only remaining variable is the honesty of your inputs.