Factset Research Systems (FDS) Net Income (2009 - 2026)
Factset Research Systems (FDS) recorded Net Income of $126.72 million in fiscal Q3 2026 (quarter ended May 31, 2026), down 14.7% from $148.54 million a year earlier and down 4.8% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Net Income (2009 - 2026) Analysis & Trends
On a TTM basis, Factset Research Systems' Net Income came in at $565.97 million as of May 31, 2026, up 6.2% year-over-year; for FY2025 (ended Aug 31, 2025), it was $597.04 million, up 11.2% from FY2024.
- Annual Net Income has increased for three straight fiscal years, with a five-year compound annual growth rate of 9.9% (FY2020 to FY2025).
- Across earlier fiscal years, Net Income came in at $537.13 million in FY2024 (+14.7%), $468.17 million in FY2023 (+18.0%), $396.92 million in FY2022 (-0.7%) and $399.59 million in FY2021 (+7.1%).
- The fiscal Q3 2026 figure is the lowest quarterly Net Income since fiscal Q4 2024.
- On a year-over-year basis, Net Income rose in five of the last eight quarters, with growth averaging 10.7%.
- Peak year-over-year performance for Net Income in the last five years was growth of 79.8% in fiscal Q3 2023, against a decline of 37.6% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $133.06 million (Q2 2026), $152.58 million (Q1 2026) and $153.62 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 1.32 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 879.00 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 342.00 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 228.60 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 185.10 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 146.70 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 126.72 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 107.80 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 4.39 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 126.72 Mn |
| Feb 28, 2026 | 133.06 Mn |
| Nov 30, 2025 | 152.58 Mn |
| Aug 31, 2025 | 153.62 Mn |
| May 31, 2025 | 148.54 Mn |
| Feb 28, 2025 | 144.86 Mn |
| Nov 30, 2024 | 150.02 Mn |
| Aug 31, 2024 | 89.50 Mn |
| May 31, 2024 | 158.14 Mn |
| Feb 29, 2024 | 140.94 Mn |
| Nov 30, 2023 | 148.56 Mn |
| Aug 31, 2023 | 65.12 Mn |
| May 31, 2023 | 134.66 Mn |
| Feb 28, 2023 | 131.59 Mn |
| Nov 30, 2022 | 136.80 Mn |
| Aug 31, 2022 | 104.42 Mn |
| May 31, 2022 | 74.91 Mn |
| Feb 28, 2022 | 109.94 Mn |
| Nov 30, 2021 | 107.63 Mn |
| Aug 31, 2021 | 101.06 Mn |
API Access
Factset Research Systems Net Income 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=net-income&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();