Factset Research Systems (FDS) Selling, General & Administrative (2009 - 2026)
Factset Research Systems (FDS) posted Selling, General & Administrative of $144.43 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 30.5% from $110.64 million a year earlier and up 11.7% from the prior quarter.
Factset Research Systems (FDS) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, Selling, General & Administrative at Factset Research Systems was $532.29 million, up 2.2% year-over-year; for FY2025 (ended Aug 31, 2025), it was $475.66 million, down 2.9% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In prior fiscal years, Factset Research Systems' Selling, General & Administrative was $489.81 million in FY2024 (+1.4%), $483.08 million in FY2023 (+11.6%), $433.03 million in FY2022 (+30.8%) and $331 million in FY2021 (-3.4%).
- The fiscal Q3 2026 figure stands as the highest quarterly Selling, General & Administrative since fiscal Q4 2024.
- On a year-over-year basis, Selling, General & Administrative has increased in each of the last three quarters, with growth averaging 8.3% over the last eight quarters.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was fiscal Q3 2022, with growth of 56.5%; the weakest was fiscal Q4 2025, with a decline of 25.7%.
- According to Business Quant data, Selling, General & Administrative for the three prior fiscal quarters was $129.32 million (Q2 2026), $127.63 million (Q1 2026) and $130.91 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 873.00 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 463.00 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 46.20 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 128.60 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 422.50 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 346.50 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 144.43 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 98.50 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 3.08 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 144.43 Mn |
| Feb 28, 2026 | 129.32 Mn |
| Nov 30, 2025 | 127.63 Mn |
| Aug 31, 2025 | 130.91 Mn |
| May 31, 2025 | 110.64 Mn |
| Feb 28, 2025 | 115.56 Mn |
| Nov 30, 2024 | 118.55 Mn |
| Aug 31, 2024 | 176.13 Mn |
| May 31, 2024 | 103.26 Mn |
| Feb 29, 2024 | 108.86 Mn |
| Nov 30, 2023 | 101.56 Mn |
| Aug 31, 2023 | 157.17 Mn |
| May 31, 2023 | 115.73 Mn |
| Feb 28, 2023 | 104.58 Mn |
| Nov 30, 2022 | 105.60 Mn |
| Aug 31, 2022 | 123.85 Mn |
| May 31, 2022 | 119.88 Mn |
| Feb 28, 2022 | 98.07 Mn |
| Nov 30, 2021 | 91.24 Mn |
| Aug 31, 2021 | 95.19 Mn |
Factset Research Systems Selling, General & Administrative 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=selling-general-and-administrative&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();