About
Valuation, one year ahead of the crowd.
Forward P/E asks a simple question the market often overlooks: not what a company already earned, but what it's about to — and how expensive it looks against that. The gap between the two is where mispricing hides.
What is forward P/E?
Forward P/E (price-to-earnings) is a stock's current price divided by the earnings analysts expect it to make over the next fiscal year, rather than the earnings it already reported. A lower forward P/E than a company's industry peers can signal an undervalued stock; a higher one usually means investors are paying a premium for expected growth.
The problem
The market prices stocks on the past.
Most valuations lean on trailing earnings — the profit a company already reported. It's tidy and certain, but it's yesterday's news, and the market has usually already priced it in.
A stock's worth is about where its earnings are headed. Look only backward and you're always a step behind.
Trailing P/E reports the top line. Forward P/E measures the bottom one.
The approach
We measure on next year's earnings.
Forward P/E uses the earnings analysts expect over the coming year, so it tells you how expensive a stock looks based on where it's going — not where it's been.
Every number is set against its industry peers, so “cheap” or “expensive” always means something relative to the field.
Nvidia's industry sits at a median 21.5, so it trades below the field it competes in.
The method
Context beats a number in a vacuum.
A forward P/E of 18 means little on its own. Against a peer group trading at 30, it starts to tell a story — one the headline price never shows.
This is the foundation for the deeper, proprietary analysis we're building next: a sharper read on where specific companies are genuinely mispriced.
Cheaper than the field
The catch
Estimates are opinions, and they move.
Forward P/E inherits the weakness of its input. Analysts are optimistic more often than not, they revise after the fact, and a cheap-looking multiple is sometimes just a forecast that hasn't caught up to bad news.
We think that's an argument for showing the number with its context, not for hiding it. A low forward P/E is a place to start asking questions — never a signal to buy on its own.
- Priceobserved fact
- Expected earningsanalyst forecast
- Peer medianforecast, aggregated
We show the source and the timestamp on every company, so you can judge the input, not just the output.
Methodology
How these numbers are built.
Every figure here is an opinion about the future divided by a fact about the present. It's worth knowing which is which.
The three figures
- Forward P/E
- Price divided by the earnings analysts expect for the next fiscal year. The number this site is built around.
- Current P/E
- Price divided by the last four reported quarters of earnings.
- Forward PEG
- Forward P/E divided by the expected growth in earnings for the next fiscal year — how much you're paying for that growth.
- Opportunity Score v2
- A fixed 0–100 summary of earnings yield (EPS divided by price), year-over-year trailing EPS change, price relative to its 40-week average, and 52-week price volatility. Higher scores mean more supportive measured conditions. The factors use an equal-weight geometric mean with a floor, so a weak factor reduces the combined score. At least three of four factors are required; missing factors are omitted and shown on the company chart. Scores use stored weekly closes and are never rescaled when you change the chart range.
- Low scores do not establish business failure, and high scores do not establish debt safety or predict a price rise. Price volatility is not the same as financial safety. The model has no industry adjustment. Historical tests showed fewer large price losses among high-scoring stocks, but only weak return discrimination that varied by period. Those tests reuse surviving companies and overlapping observations; the score is not a calibrated probability.
One measuring stick, not two
Analysts forecast the earnings figure a company guides to. For most software businesses that excludes stock-based compensation, so it sits above the GAAP figure the company files with regulators.
We use that same consensus basis on bothsides, trailing and forward, so the two multiples on a card can actually be compared. Mixing them made the software group appear to jump from a median of 35.2 on past earnings to 17.5 on future ones — which would mean the sector doubles its profits in a year. It doesn't. Only the measuring stick had changed.
Who's behind this
The SPXScore Team
Founded by Daniel Kwon, SPXScore is built by a small team of engineers and financial strategists based in Silicon Valley, working at the same pace as the innovation we track. We apply that lens to U.S. equities — forward-looking valuation, peer benchmarking, and disciplined rebalancing — so the analysis keeps up with how quickly the underlying companies change.
Where we're headed
Start free. Go deeper when you're ready.
Every rung uses the same method. What changes is how many companies it reaches, and how much work we've done on top of it.
The approach across the 50 largest US companies — the most-watched names in the market.
- Forward P/E benchmarked against industry peers
- 50 largest US companies
- Full trend history for all 50, as a free preview
- No account or card required
The same lens across the entire index — all 500 names, each benchmarked to the median of its own industry.