Factset Research Systems (FDS) EPS (Diluted) (2009 - 2026)
Factset Research Systems (FDS) reported EPS (Diluted) of $3.31 for fiscal Q4 2026 (quarter ended Aug 31, 2026), down 17.3% from $4.00 a year earlier and down 5.5% from the prior quarter.
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Analysis
Factset Research Systems (FDS) EPS (Diluted) (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), Factset Research Systems posted EPS (Diluted) of $14.57, down 6.3% from FY2025.
- EPS (Diluted) has a five-year compound annual growth rate of 7.1% (FY2021 to FY2026).
- By fiscal year, EPS (Diluted) came in at $15.55 in FY2025 (+11.8%), $13.91 in FY2024 (+15.6%), $12.04 in FY2023 (+17.5%) and $10.25 in FY2022 (-1.1%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly EPS (Diluted) since fiscal Q4 2024.
- Year over year, EPS (Diluted) has now declined in each of the last three quarters, with growth averaging 5.6% over the last eight quarters.
- The high point for year-over-year EPS (Diluted) in five years was fiscal Q3 2023 (growth of 78.9%); the low point was fiscal Q4 2023 (a decline of 37.9%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $3.50 (Q3 2026), $3.59 (Q2 2026) and $4.06 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 4.25 |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 4.24 |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 4.85 |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 1.75 |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 1.79 |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | 0.81 |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 3.31 |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 3.06 |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 5.28 |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | 2.89 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 3.31 |
| May 31, 2026 | 3.50 |
| Feb 28, 2026 | 3.59 |
| Nov 30, 2025 | 4.06 |
| Aug 31, 2025 | 4.00 |
| May 31, 2025 | 3.87 |
| Feb 28, 2025 | 3.76 |
| Nov 30, 2024 | 3.89 |
| Aug 31, 2024 | 2.32 |
| May 31, 2024 | 4.09 |
| Feb 29, 2024 | 3.65 |
| Nov 30, 2023 | 3.84 |
| Aug 31, 2023 | 1.67 |
| May 31, 2023 | 3.46 |
| Feb 28, 2023 | 3.38 |
| Nov 30, 2022 | 3.52 |
| Aug 31, 2022 | 2.70 |
| May 31, 2022 | 1.93 |
| Feb 28, 2022 | 2.84 |
| Nov 30, 2021 | 2.79 |
API Access
Factset Research Systems EPS (Diluted) 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=eps-diluted&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();