Factset Research Systems (FDS) Consolidated Net Income (2009 - 2026)
Factset Research Systems (FDS) posted Consolidated Net Income of $121.13 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), down 21.1% from $153.62 million a year earlier and down 4.4% from the prior quarter.
Factset Research Systems (FDS) Consolidated Net Income (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), Factset Research Systems' Consolidated Net Income came in at $533.48 million, down 10.6% from FY2025.
- Annual Consolidated Net Income shows a five-year compound annual growth rate of 5.9% (FY2021 to FY2026).
- In prior fiscal years, Factset Research Systems' Consolidated Net Income was $597.04 million in FY2025 (+11.2%), $537.13 million in FY2024 (+14.7%), $468.17 million in FY2023 (+18.0%) and $396.92 million in FY2022 (-0.7%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Consolidated Net Income since fiscal Q4 2024.
- On a year-over-year basis, Consolidated Net Income has declined in each of the last three quarters, with growth averaging 3.4% over the last eight quarters.
- The strongest year-over-year quarter for Consolidated Net Income in the past five years was fiscal Q3 2023, with growth of 79.8%; the weakest was fiscal Q4 2023, with a decline of 37.6%.
- According to Business Quant data, Consolidated Net Income for the three prior fiscal quarters was $126.72 million (Q3 2026), $133.06 million (Q2 2026) and $152.58 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 135.95 Bn | 125.80 Bn | 2.64 Bn | 1.35 Bn |
| 2 | Moodys | 87.18 Bn | 80.11 Bn | 1.50 Bn | 736.00 Mn |
| 3 | Msci | 46.24 Bn | 44.72 Bn | 739.80 Mn | 351.00 Mn |
| 4 | Verisk Analytics | 26.46 Bn | 21.10 Bn | 572.90 Mn | 228.60 Mn |
| 5 | Equifax | 22.29 Bn | 21.56 Bn | 940.10 Mn | 213.40 Mn |
| 6 | TransUnion | 15.65 Bn | 12.34 Bn | - | 160.50 Mn |
| 7 | Factset Research Systems | 11.79 Bn | 10.64 Bn | 308.40 Mn | 121.13 Mn |
| 8 | Morningstar | 9.04 Bn | 6.93 Bn | 431.40 Mn | 115.50 Mn |
| 9 | Mastercard | 577.18 Bn | 537.27 Bn | - | 4.63 Bn |
| 10 | Cme | 108.04 Bn | 96.37 Bn | - | 1.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 121.13 Mn |
| 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 |
Factset Research Systems Consolidated 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=consolidated-net-income&ticker=FDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-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=consolidated-net-income&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();