Factset Research Systems (FDS) Operating Income (2009 - 2026)
Factset Research Systems' Operating Income came in at $156.62 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), down 11.7% from $177.32 million a year earlier and down 5.8% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Operating Income (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), Factset Research Systems' Operating Income was $699.96 million, down 6.5% from FY2025.
- Operating Income carries a five-year compound annual growth rate of 8.1% (FY2021 to FY2026).
- Going back by fiscal year, Operating Income was $748.3 million in FY2025 (+6.7%), $701.3 million in FY2024 (+11.5%), $629.21 million in FY2023 (+32.3%) and $475.48 million in FY2022 (+0.3%).
- The fiscal Q4 2026 figure represents the lowest quarterly Operating Income since fiscal Q4 2024.
- Year-over-year, Operating Income has declined for three consecutive quarters, with growth averaging 1.5% over the last eight quarters.
- 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 $166.3 million (Q3 2026), $184.96 million (Q2 2026) and $192.07 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 1.96 Bn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 906.00 Mn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 502.10 Mn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 363.70 Mn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 355.30 Mn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | 267.20 Mn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 156.62 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 167.40 Mn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 5.86 Bn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | 1.14 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 156.62 Mn |
| 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 |
API Access
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();