Factset Research Systems (FDS) EBIT (2009 - 2026)
Factset Research Systems (FDS) recorded EBIT of $156.62 million in 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.
Powered by 
Analysis
Factset Research Systems (FDS) EBIT (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), Factset Research Systems reported EBIT of $699.96 million, down 6.5% from FY2025.
- Annual EBIT has a five-year compound annual growth rate of 8.1% (FY2021 to FY2026).
- Across earlier fiscal years, EBIT came in at $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 is the lowest quarterly EBIT since fiscal Q4 2024.
- On a year-over-year basis, EBIT has declined for three consecutive quarters, with growth averaging 1.5% over the last eight quarters.
- Peak year-over-year performance for EBIT in the last five years was growth of 76.8% in fiscal Q3 2023, against a decline of 17.4% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $166.3 million (Q3 2026), $184.96 million (Q2 2026) and $192.07 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (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 EBIT 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=ebit&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();