Factset Research Systems (FDS) Price to Earnings (2009 - 2026)
Factset Research Systems' (FDS) Price to Earnings came in at 20.72 for fiscal Q4 2026 (quarter ended Aug 31, 2026), down 12.0% from 23.54 a year earlier but up 33.5% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Price to Earnings (2009 - 2026) Analysis & Trends
Since fiscal Q4 2010, Factset Research Systems has reported Price to Earnings for 65 quarters.
- Annual Price to Earnings has declined for four consecutive fiscal years.
- In prior fiscal years, Factset Research Systems' Price to Earnings was 23.54 in FY2025 (-21.2%), 29.88 in FY2024 (-15.7%), 35.45 in FY2023 (-14.7%) and 41.54 in FY2022 (+16.0%).
- Quarterly Price to Earnings has run from a low of 13.52 in fiscal Q2 2026 to a high of 43.59 in fiscal Q1 2022 over five years.
- On a year-over-year basis, Price to Earnings has declined in each of the last five quarters, with an average decline of 24.9% over the last eight quarters.
- The strongest year-over-year quarter for Price to Earnings in the past five years was fiscal Q1 2022, with growth of 30.6%; the weakest was fiscal Q2 2026, with a decline of 58.2%.
- According to Business Quant data, Price to Earnings for the three prior fiscal quarters was 15.52 (Q3 2026), 13.52 (Q2 2026) and 17.22 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 20.72 |
| May 31, 2026 | 15.52 |
| Feb 28, 2026 | 13.52 |
| Nov 30, 2025 | 17.22 |
| Aug 31, 2025 | 23.54 |
| May 31, 2025 | 32.55 |
| Feb 28, 2025 | 32.33 |
| Nov 30, 2024 | 34.66 |
| Aug 31, 2024 | 29.88 |
| May 31, 2024 | 30.01 |
| Feb 29, 2024 | 36.04 |
| Nov 30, 2023 | 35.96 |
| Aug 31, 2023 | 35.45 |
| May 31, 2023 | 28.98 |
| Feb 28, 2023 | 35.47 |
| Nov 30, 2022 | 41.37 |
| Aug 31, 2022 | 41.54 |
| May 31, 2022 | 36.84 |
| Feb 28, 2022 | 36.69 |
| Nov 30, 2021 | 43.59 |
API Access
Factset Research Systems Price to Earnings 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-earnings&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();