Global Equity Valuations Database
The Global Equity Valuations Database by Siblis Research provides valuation ratios for country, regional and sector equity indices worldwide — trailing and forward P/E, CAPE, price to book, dividend yield and EV/EBITDA — delivered as an Excel dashboard and a JSON API.
Every ratio is calculated on the aggregate. Total market capitalisation of an index divided by the aggregate earnings, book value or EBITDA of its constituents, rather than an average of the constituents' individual ratios. The same method is applied to every market and every period, which is what makes the series comparable across countries and across decades.
There are two ways to buy it, and the question that separates them is whether you need the numbers to keep arriving. The History Licence is the whole database in one file for $349, paid once and licensed permanently. An annual subscription is the same data plus the daily API, updated for as long as you subscribe. Both carry the same history, with the longest series running from 1970.
Pro
One analyst, the whole database.
One payment a year — works out at $64 a month
- 1 user
- 1,000 API requests a day
- Monthly Dashboard (Excel)
- Complete history, back to 1970 on the longest series
- Full API access, every trading day
- Statistical aggregates endpoint
- Priority support
Enterprise
A team, plus bulk delivery.
One payment a year — works out at $320 a month
- Up to 5 users
- 50,000 API requests a day
- Monthly Dashboard (Excel)
- Complete history, back to 1970 on the longest series
- Full API access, every trading day
- Statistical aggregates endpoint
- Bulk CSV download
- Priority support
Custom
More seats, redistribution rights, or something the standard plans do not cover.
Usually a reply within one business day
- 5+ users
- Negotiable rate limits
- Everything in Enterprise
- Custom index coverage
- Alternative file formats
- Redistribution and white-label licensing (valuations data)
History Licence
Backtesters, academics, and anyone whose project has an end date.
The complete database in one Excel file, licensed permanently. Nothing renews, nothing to cancel, and no card kept on file.
- Every index, every ratio, the full history back to 1970
- One Excel workbook, dated to the month it is issued
- Permanent licence — use it, publish from it and cite it, with no time limit
- No API, and no updates after delivery
| Pro | Enterprise | Custom | |
|---|---|---|---|
| Users | 1 | Up to 5 | 5+ |
| API requests a day | 1,000 | 50,000 | Negotiable |
| Monthly Dashboard (Excel) | ✓ | ✓ | ✓ |
| Complete history | ✓ | ✓ | ✓ |
| Full API access | ✓ | ✓ | ✓ |
| Statistical aggregates endpoint | ✓ | ✓ | ✓ |
| Bulk CSV download | — | ✓ | ✓ |
| Custom index coverage | — | — | ✓ |
| Alternative file formats | — | — | ✓ |
30-day money-back guarantee on everything here. Subscriptions can be cancelled or paused at any time — no hidden fees.
| What it is | |
|---|---|
| Monthly Dashboard | One Excel workbook containing every index, every ratio and the full history. Opens and works without any tooling. |
| API | JSON over HTTPS. Daily values for daily-frequency indices, with optional date ranges and a statistical aggregates endpoint. |
| Bulk CSV | A signed download of the complete history for a ticker, all ratios in one file. Enterprise plans. |
| History Licence | The whole dashboard, complete history, as one dated Excel file. Bought once, licensed permanently, never updated. No API. |
| Ratio | What it is | History from |
|---|---|---|
| Trailing P/E | Aggregate market capitalisation over aggregate normalised net income for the previous twelve months | 1970 |
| Forward P/E | The same, using consensus estimates for the next twelve months | 1990 |
| CAPE | Price over the average of ten years of inflation-adjusted aggregate earnings | 1980 |
| Price to book | Aggregate market capitalisation over aggregate book value | 1979 |
| Dividend yield | Trailing twelve-month dividends over market capitalisation | 1990 |
| EV/EBITDA | Enterprise value over EBITDA, a monthly snapshot rather than a daily calculation | 1995 |
Not every ratio is published for every index. The Monthly Dashboard is the quickest way to see exactly what exists for a given market.
Each definition above is the short version. The data methodology sets out the full construction — what counts as earnings, which items are normalised out, how point-in-time is enforced, and what happens when a constituent's figure is missing.
At a glance
What the coverage looks like
The database carries 47 country and regional indices and the eleven equity sectors, each calculated for four universes: the United States, global, global excluding the United States, and global excluding the United States and China. Regional aggregates include the world index, developed markets, emerging markets and Europe, alongside U.S. large cap, small cap, growth, value and NASDAQ 100 series.
The longest series begins in 1970, which covers the 1973–74 bear market, the inflation of the late seventies, the 1987 crash, the Japanese bubble, the dot-com peak and bust, 2008 and everything since. A valuation reading only means something against a reference period, and a reference period that contains several complete cycles is a different thing from one that starts in the 1990s.
Two ways to buy, and how to tell which you want
Ask one question: when your work is finished, do you still need the numbers?
For a backtest, a paper, a valuation exercise or a one-off piece of research, the answer is no. That work has an end date, and a subscription running past it is paying for nothing. The History Licence is built for exactly that — every index, every ratio and the complete history back to 1970, in a single Excel workbook dated to the month it is issued. $349, paid once. It does not renew, there is nothing to cancel, and we do not keep a card on file.
For monitoring a market, maintaining a model, or anything that has to stay current, the answer is yes. An annual subscription carries the same complete history, adds the API with every trading day rather than month-ends, and keeps updating for as long as it runs.
Both carry the full history, and neither is a shortened version. What "full" means differs by market: the longest series begins in 1970, and every other one begins when the underlying market data does. The sample dashboard shows the start date for every index, ratio by ratio, so you can confirm the coverage you need before paying for it.
Point-in-time, and what that commits us to
Figures are point-in-time. If a company later restates its results, the historic reading is left exactly as it was first published: the series reflects what was known at the time, not what is known now. This is the same convention the major index providers use, and it is what makes a backtest honest — a strategy tested against restated figures is a strategy with hindsight.
The one exception is a calculation error on our side. Those are corrected, and subscribers are told when a correction changes a published number.
How the ratios are built
Aggregation rather than averaging is the decision that matters most. An average of constituent P/E ratios is dominated by whichever company happens to have near-zero earnings that quarter; an aggregate is not. The cost is that loss-making constituents subtract from the denominator, which is why small cap indices carry structurally higher ratios than large cap ones, and why a sector in a bad year can show a ratio that is not a valuation at all. Where aggregate earnings are negative, the ratio is published as Negative rather than as a number.
Earnings are normalised: major purely accounting gains and losses are removed, so a one-off write-down does not read as a collapse in profitability.
Free data, and what the subscription adds
Every dataset page on this site publishes real figures — current readings for every market, and ten year-ends of history — and they are free to use with attribution. The paid product is for the parts a web page cannot carry: every trading day rather than one month-end reading, every ratio for every index in one file, decades of history rather than ten year-ends, and an API that drops into whatever you already work in.
The plans above license the data for your own use — your models, your reports, the work your organisation produces for its clients. They do not cover putting the figures in front of your users.
If you are building something where other people will see the numbers — an application, a dashboard your customers log into, a research or advisory platform, a public website, a newsletter with paying subscribers, a textbook or a published work — that is a redistribution licence, and it is a separate agreement rather than something we refuse.
It is priced on what you are building and how many people will see it, not on seats. It always carries an attribution requirement, because the figures are calculated in-house and we expect the source to be visible where they appear.
Tell us three things — what the product is, roughly how many end users it will reach, and which datasets you need — and you will get a straight answer and a number. The data licensing page sets out where the line falls, what can be licensed and what every licence carries. Email sales@siblisresearch.com.
Where this data is used
Some examples. Siblis valuation data appears in peer-reviewed journals, central bank publications and the financial press.
Can I see the data before subscribing?
Yes, three ways. The free data pages carry current figures for every market on the site. The free API returns JSON for a subset of indices with no key and no account. And the sample dashboard above is the full workbook structure — every market, every ratio, every month — with each cell marked Available instead of the figure, so you can confirm the coverage you need exists before paying for it.
What exactly is the History Licence?
One Excel workbook containing every index, every ratio and the complete history, dated to the month it is issued. $349, paid once. You may use it, publish from it and cite it with no time limit, under the terms of use.
What it does not include: the API, and any update after delivery. If you need the numbers to keep arriving, a subscription is the right product.
I bought the licence. Can I get an updated file later?
Yes — email sales@siblisresearch.com and we will tell you what a current file costs. The licence you bought does not expire and does not update; a later edition is a separate purchase.
How is the data calculated?
Every ratio is an aggregate rather than an average, and earnings are normalised. The data methodology is the full document: per-share inputs, the treatment of impairments and acquisition costs, index construction, currency, and the point-in-time rules.
Is there documentation for the API?
Yes — the API guide covers authentication, every endpoint, plan limits, the error codes and code samples for Python, JavaScript, Excel and Google Sheets. The API page is the same material in the browser, and the free tier there works without a key.
What happens if I hit the daily request limit?
The API returns a 429 with the time the counter resets, which is 00:00 UTC. There is no automatic upcharge and no hidden fee — you wait for the reset or move to a plan with a higher quota.
Can I cancel?
Any time, with no fee. There is also a 30-day money-back guarantee on subscriptions: if the database is not what you needed, tell us within the first 30 days and we refund it in full. The History Licence is a single delivered file rather than a subscription, so there is nothing to cancel — the same 30-day guarantee applies to it.
Can I put this data in my own app or website?
Not under a standard subscription, which licenses the data for your own use. Showing the figures to your own users is a redistribution licence — a separate agreement, priced on the product and its reach, and one we are glad to write. Email sales@siblisresearch.com with what you are building.
The free figures on the data pages are a different matter: those are reusable with attribution by anyone, including commercially.
Can I cite this in a paper?
Yes, and many people have — the citations page lists peer-reviewed journals, central bank working papers and the financial press. Each dataset page carries a ready-made citation and a BibTeX entry.
I need an index you do not list.
Email support@siblisresearch.com. Custom index coverage is one of the things the Custom plan exists for, and the answer is usually quick.
Pro
One analyst, the whole database.
One payment a year — works out at $64 a month
- 1 user
- 1,000 API requests a day
- Monthly Dashboard (Excel)
- Complete history, back to 1970 on the longest series
- Full API access, every trading day
- Statistical aggregates endpoint
- Priority support
Enterprise
A team, plus bulk delivery.
One payment a year — works out at $320 a month
- Up to 5 users
- 50,000 API requests a day
- Monthly Dashboard (Excel)
- Complete history, back to 1970 on the longest series
- Full API access, every trading day
- Statistical aggregates endpoint
- Bulk CSV download
- Priority support
Custom
More seats, redistribution rights, or something the standard plans do not cover.
Usually a reply within one business day
- 5+ users
- Negotiable rate limits
- Everything in Enterprise
- Custom index coverage
- Alternative file formats
- Redistribution and white-label licensing (valuations data)
History Licence
Backtesters, academics, and anyone whose project has an end date.
The complete database in one Excel file, licensed permanently. Nothing renews, nothing to cancel, and no card kept on file.
- Every index, every ratio, the full history back to 1970
- One Excel workbook, dated to the month it is issued
- Permanent licence — use it, publish from it and cite it, with no time limit
- No API, and no updates after delivery
30-day money-back guarantee on everything here. Subscriptions can be cancelled or paused at any time — no hidden fees.