Factset Research Systems (FDS) Selling, General & Administrative (2009 - 2026)
Factset Research Systems (FDS) posted Selling, General & Administrative of $151.78 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), up 15.9% from $130.91 million a year earlier and up 5.1% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), Factset Research Systems' Selling, General & Administrative came in at $553.15 million, up 16.3% from FY2025.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 10.8% (FY2021 to FY2026).
- In prior fiscal years, Factset Research Systems' Selling, General & Administrative was $475.66 million in FY2025 (-2.9%), $489.81 million in FY2024 (+1.4%), $483.08 million in FY2023 (+11.6%) and $433.03 million in FY2022 (+30.8%).
- The fiscal Q4 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 four quarters, with growth averaging 8.8% 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 $144.43 million (Q3 2026), $129.32 million (Q2 2026) and $127.63 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 135.95 Bn | 125.80 Bn | 2.64 Bn | 660.00 Mn |
| 2 | Moodys | 87.18 Bn | 80.11 Bn | 1.50 Bn | 442.00 Mn |
| 3 | Msci | 46.24 Bn | 44.72 Bn | 739.80 Mn | 48.20 Mn |
| 4 | Verisk Analytics | 26.46 Bn | 21.10 Bn | 572.90 Mn | 128.60 Mn |
| 5 | Equifax | 22.29 Bn | 21.56 Bn | 940.10 Mn | 390.40 Mn |
| 6 | TransUnion | 15.65 Bn | 12.34 Bn | - | 346.60 Mn |
| 7 | Factset Research Systems | 11.79 Bn | 10.64 Bn | 308.40 Mn | 151.78 Mn |
| 8 | Morningstar | 9.04 Bn | 6.93 Bn | 431.40 Mn | 93.10 Mn |
| 9 | Mastercard | 577.18 Bn | 537.27 Bn | - | 3.29 Bn |
| 10 | Cme | 108.04 Bn | 96.37 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 151.78 Mn |
| 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 |
API Access
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();