Factset Research Systems (FDS) Price to Book (2010 - 2026)
Factset Research Systems' (FDS) Price to Book came in at 4.32 for fiscal Q3 2026 (quarter ended May 31, 2026), down 46.3% from 8.05 a year earlier but up 15.8% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Price to Book (2010 - 2026) Analysis & Trends
For FY2025 (ended Aug 31, 2025), Factset Research Systems' Price to Book stood at 6.43, down 23.4% from FY2024.
- Annual Price to Book has declined for seven consecutive fiscal years.
- In prior fiscal years, Factset Research Systems' Price to Book was 8.39 in FY2024 (-18.1%), 10.24 in FY2023 (-17.3%), 12.38 in FY2022 (-12.0%) and 14.07 in FY2021 (-5.3%).
- Quarterly Price to Book has run from a low of 3.73 in fiscal Q2 2026 to a high of 16.11 in fiscal Q1 2022 over five years.
- On a year-over-year basis, Price to Book has declined in each of the last 17 quarters, with an average decline of 26.9% over the last eight quarters.
- The strongest year-over-year quarter for Price to Book in the past five years was fiscal Q1 2022, with growth of 20.9%; the weakest was fiscal Q2 2026, with a decline of 56.2%.
- According to Business Quant data, Price to Book for the three prior fiscal quarters was 3.73 (Q2 2026), 4.76 (Q1 2026) and 6.43 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 4.32 |
| Feb 28, 2026 | 3.73 |
| Nov 30, 2025 | 4.76 |
| Aug 31, 2025 | 6.43 |
| May 31, 2025 | 8.05 |
| Feb 28, 2025 | 8.53 |
| Nov 30, 2024 | 9.37 |
| Aug 31, 2024 | 8.39 |
| May 31, 2024 | 8.14 |
| Feb 29, 2024 | 9.79 |
| Nov 30, 2023 | 10.15 |
| Aug 31, 2023 | 10.24 |
| May 31, 2023 | 8.81 |
| Feb 28, 2023 | 9.88 |
| Nov 30, 2022 | 11.96 |
| Aug 31, 2022 | 12.38 |
| May 31, 2022 | 11.44 |
| Feb 28, 2022 | 12.65 |
| Nov 30, 2021 | 16.11 |
| Aug 31, 2021 | 14.07 |
API Access
Factset Research Systems Price to Book API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-book&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "FDS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();