You have two offers open in two browser tabs. You're about to make a $40,000 mistake.
Not because either offer is bad. Because the tool you're using to compare them — a spreadsheet, a back-of-napkin add-up, your buddy's gut check — wasn't built for the question you're actually asking. The question isn't "which number is bigger." The question is "which one of these is the company that will still be paying me 18 months from now, and which one is short-changing me on the parts I can't see yet."
A spreadsheet can't answer that. Here's what can.
Why base salary is the wrong starting point
Walk into most offer comparisons and the first thing people do is line up base salaries. Offer A is $185K. Offer B is $172K. Done, right?
Except base salary is the slowest-moving part of your compensation. Benefit costs grew 3.6% year-over-year for the 12-month period ending March 2026, outpacing the 3.4% wage increase over the same window¹. The fastest-growing part of your comp package is the part you're not looking at.
And it gets worse. 53% of workers say financial incentives — bonuses, stock options — would prompt them to switch employers even if base pay stayed the same². Translation: candidates know the bonus and equity columns matter more than base. The people who keep losing money in offer comparisons are the ones still anchored to one number.
When you compare two offers by base salary, you're comparing the cheapest, slowest-moving piece of two packages where the action is happening everywhere else.
What an offer comparison actually has to do
A real comparison answers six questions. Most spreadsheets answer one.
1. What is the annualized total comp, year one? Base + signing bonus + target bonus + first-year equity vest + benefits dollar-value + 401(k) match + any cash perks. Not a salary number. A package number.
2. What is the annualized total comp, year four? Equity grants don't vest evenly. A 4-year vest with a 1-year cliff and 25/25/25/25 distribution looks different from a 10/20/30/40 backloaded grant. One offer can be 11% higher in year one and 23% lower in year four. The spreadsheet doesn't see this.
3. What is the risk-adjusted equity value? Pre-IPO equity is not cash. Public-company RSUs are not cash either, but they're closer. A private-company offer at "$180K base + $200K equity" is not a $380K offer — it's a $180K offer with a lottery ticket whose payout depends on the company's survival and exit. You need to grade the company before you price the equity.
4. What is the metro-adjusted spend power? $190K in Seattle is not $190K in Austin. State income tax, housing, commute cost — they're variable, and they swing 15-30% of take-home depending on the move.
5. What is the role-level differential? Same job title at two companies can mean two different levels. An IC4 at one company is an IC5 at another. If you're comparing across levels without realizing it, you're comparing apples to a different fruit entirely.
6. What is the company's hiring temperature and runway? A great offer from a company that's about to do a layoff round is not a great offer. This is the question spreadsheets never even attempt.
If your comparison tool isn't doing all six, it's not comparing offers. It's comparing salaries.
The spreadsheet's three fatal flaws
People reach for spreadsheets because spreadsheets feel rigorous. Rows, columns, formulas, a total at the bottom. The form looks like work. The output, though, has three problems that make it dangerous.
Flaw 1: No market anchor. A spreadsheet tells you Offer A pays $185K and Offer B pays $172K. It does not tell you that the market rate for that role and metro is $198K. Without the market anchor, you're picking the better of two losing positions and calling it a win. The 2026 market context: U.S. employers planned a 3.5% median salary budget increase for 2026³. Every offer should be graded against the moving market, not against itself.
Flaw 2: No risk model on equity. Spreadsheets treat equity as a dollar figure. Real equity has a probability distribution. Pre-seed equity has a different expected value than Series C equity, which has a different expected value than RSUs at a public company with a 90-day vesting cliff. Multiply equity face value by the probability of realization. Most spreadsheets do not do this. Most candidates do not know to do this.
Flaw 3: No counterparty data. The company across the table is part of the comparison. Hiring temperature, funding stage, layoff signals, recent leadership churn — these are knowable facts that change which offer is actually better. A spreadsheet can't tell you that Offer B's parent company filed a WARN Act notice last quarter. It can't tell you that Offer A just closed a $90M Series C two weeks ago. Both of those facts change the answer.
The honest counter-argument
There's a reasonable objection to all of this: maybe compensation math isn't the deciding factor anyway.
26% of job seekers reject offers due to poor communication or unclear expectations — not pay. 36% decline after a negative interview experience⁴. For a meaningful share of candidates, the question isn't "which offer pays more after adjusting for equity risk" — it's "which manager am I going to want to work for in six months."
Fair. But here's how that argument cuts. If two offers come in close on culture and process — same caliber of team, same product you believe in, same manager you'd run through a wall for — then the comp math is the entire tiebreaker. And when culture is the deciding factor and you take the lower offer for the better team, you should at least know exactly what you're paying for that decision. "I took the role I wanted and left $34,000 on the table" is a defensible trade. "I took the role I wanted and accidentally left $34,000 on the table" is just a loss with a smile on it.
The math is the floor. Culture is the ceiling. You need both. The spreadsheet gives you neither in usable form.
What the loadout looks like
The best offer comparison tool isn't a tool. It's a loadout — a set of instruments that each handle a piece of the question, run together.
Instrument 1: The grade. Drop the offer in, get the verdict. 0-100 score against the market for your role and metro, with the gap to the upper-quartile number stated in dollars. Not "above market" — $14,200 below the 75th percentile. Specific. The verdict is the anchor every other instrument plugs into. Grade your offer free.
Instrument 2: The compare. Two offers, side by side, with year-1 and year-4 total comp, risk-adjusted equity, metro adjustment, and level normalization. The thing your spreadsheet was trying to do, done correctly. Compare two offers side-by-side.
Instrument 3: The company read. Funding stage, hiring temperature, layoff signals, recent news from SEC filings, WARN Act notices, GitHub activity, TechCrunch coverage. The company across the table is in the brief now. Pull the company brief.
Instrument 4: The intel. Once you have the grade and the company read, you build the counter. Anchored to the company's reality — runway, recent hires at your level, what they paid the last person.
Instrument 5: The script. Three questions in. A counter-objection bank out. The exact language to use when the recruiter says "this is our best offer." Because knowing the gap is $14,200 doesn't matter if you freeze on the call.
Five instruments. One pocket. AMMO has all of them.
How this plays out in practice
Two offers. Senior software engineer, Series C fintech in San Francisco vs. public-company role in Seattle.
Spreadsheet view:
- Offer A (SF): $215K base, $40K signing, $480K equity over 4 years. Headline number: $375K/yr.
- Offer B (Seattle): $205K base, $25K signing, $320K RSUs over 4 years. Headline number: $330K/yr.
Spreadsheet says A. Spreadsheet is wrong.
Real comparison:
- Year 1 total comp, risk-adjusted equity (A): $215K + $40K + ($120K × 0.35 probability of realization at Series C) = $297K.
- Year 1 total comp, risk-adjusted equity (B): $205K + $25K + ($80K × 0.95 probability at public co) = $306K.
- Metro adjustment: SF spend power 0.78 of Seattle for the same dollar. After adjustment, B leads by roughly $42K in real take-home.
- Company read: Offer A's company has 11 months of runway visible in their last funding announcement, plus three engineering layoffs reported in the past quarter. Offer B's company posted record Q1 revenue.
Same two offers. Two different answers depending on whether you grade them or just add them up. The spreadsheet had A winning by $45K/yr. The real comparison has B winning by $42K + a vastly lower job-loss probability.
This is the gap a real comparison tool closes. And no — it's not a spreadsheet.
The negotiation move most candidates miss
Here's the part nobody tells you. The point of comparing two offers isn't to pick one. The point of comparing two offers is to use one against the other to raise both.
66% of people who negotiate their starting salary succeed — but only 30% even ask⁵. The candidates who walk away with the higher number are not the ones with the better offer in hand. They're the ones who showed up with the data, the gap, and the script.
When you have two offers and a real comparison, you have a third offer waiting to be created — the counter that raises the offer you actually want. That's the move. And it requires knowing the gap in dollars, knowing the company's room to move, and knowing the exact words to use when the recruiter pushes back.
The spreadsheet can't do that. The loadout can.
Stop comparing wrong.
Grade your offer free. 60 seconds. Get the verdict. Then run the second offer. Then pull the company read.
Come to the table loaded.
¹ U.S. Bureau of Labor Statistics, "Employment Cost Index — March 2026", April 2026. https://www.bls.gov/news.release/pdf/eci.pdf
² City Personnel, "100+ Job Market Statistics for 2026". https://citypersonnel.net/2026-job-market-statistics/
³ Payscale, "2025–2026 Salary Budget Survey", data from 1,551 organizations. https://www.payscale.com/featured-content/salary-budget-survey-sbs
⁴ NLB Services, "Hiring Trends 2026: Why Candidates Reject Job Offers After Selection". https://www.nlbservices.com/blog/hiring-trends-2026-why-candidates-reject-job-offers-after-selection/
⁵ Pew Research Center, "How Today's Workers Feel About Their Job Prospects and the State of the U.S. Economy", April 2023, n=5,775. https://www.pewresearch.org/social-trends/2023/04/13/how-todays-workers-feel-about-their-job-prospects-and-the-state-of-the-u-s-economy/