Factset Research Systems (FDS) Operating Income (2009 - 2026)
Factset Research Systems' Operating Income came in at $166.3 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 14.3% from $194.16 million a year earlier and down 10.1% from the prior quarter.
Factset Research Systems (FDS) Operating Income (2009 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Factset Research Systems reported Operating Income of $720.65 million, up 3.1% year-over-year; for FY2025 (ended Aug 31, 2025), it was $748.3 million, up 6.7% from FY2024.
- Operating Income has increased in each of the last 12 fiscal years, with a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- Going back by fiscal year, Operating Income was $701.3 million in FY2024 (+11.5%), $629.21 million in FY2023 (+32.3%), $475.48 million in FY2022 (+0.3%) and $474.04 million in FY2021 (+7.8%).
- The fiscal Q3 2026 figure represents the lowest quarterly Operating Income since fiscal Q4 2024.
- Year-over-year, Operating Income increased in five of the last eight quarters, with growth averaging 4.2%.
- The fastest year-over-year change in Operating Income over five years came in fiscal Q3 2023 (growth of 76.8%), and the weakest in fiscal Q3 2022 (a decline of 17.4%).
- Business Quant data shows FDS's Operating Income at $184.96 million (Q2 2026), $192.07 million (Q1 2026) and $177.32 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 1.81 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 1.05 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 487.50 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 363.70 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 314.20 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 258.00 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 166.30 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 160.60 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 5.59 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 1.11 Bn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 166.30 Mn |
| Feb 28, 2026 | 184.96 Mn |
| Nov 30, 2025 | 192.07 Mn |
| Aug 31, 2025 | 177.32 Mn |
| May 31, 2025 | 194.16 Mn |
| Feb 28, 2025 | 185.49 Mn |
| Nov 30, 2024 | 191.34 Mn |
| Aug 31, 2024 | 127.86 Mn |
| May 31, 2024 | 202.46 Mn |
| Feb 29, 2024 | 181.94 Mn |
| Nov 30, 2023 | 189.04 Mn |
| Aug 31, 2023 | 116.10 Mn |
| May 31, 2023 | 171.96 Mn |
| Feb 28, 2023 | 169.25 Mn |
| Nov 30, 2022 | 171.90 Mn |
| Aug 31, 2022 | 132.22 Mn |
| May 31, 2022 | 97.25 Mn |
| Feb 28, 2022 | 123.35 Mn |
| Nov 30, 2021 | 122.66 Mn |
| Aug 31, 2021 | 119.18 Mn |
Factset Research Systems Operating 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=operating-income&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-income&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();