Factset Research Systems (FDS) Other Operating Expenses (2009 - 2026)
Factset Research Systems (FDS) reported Other Operating Expenses of -$1.17 million for fiscal Q4 2023 (quarter ended Aug 31, 2023), compared with $1.29 million a year earlier.
Factset Research Systems (FDS) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2023, Factset Research Systems' Other Operating Expenses came in at $1.01 million, down 98.4% year-over-year; for FY2022 (ended Aug 31, 2022), it was $64.27 million.
- By fiscal year, Other Operating Expenses came in at $16.5 million in FY2020.
- The fiscal Q4 2023 figure ranks as the lowest quarterly Other Operating Expenses in data going back to fiscal Q2 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 326.30 Mn |
| May 31, 2026 | 312.19 Mn |
| Feb 28, 2026 | 296.74 Mn |
| Nov 30, 2025 | 287.92 Mn |
| Aug 31, 2025 | 288.67 Mn |
| May 31, 2025 | 280.73 Mn |
| Feb 28, 2025 | 269.60 Mn |
| Nov 30, 2024 | 258.78 Mn |
| Aug 31, 2024 | 258.20 Mn |
| May 31, 2024 | 246.99 Mn |
| Feb 29, 2024 | 255.14 Mn |
| Nov 30, 2023 | 251.62 Mn |
| Aug 31, 2023 | 262.52 Mn |
| May 31, 2023 | 242.13 Mn |
| Feb 28, 2023 | 241.25 Mn |
| Nov 30, 2022 | 227.32 Mn |
| Aug 31, 2022 | 243.23 Mn |
| May 31, 2022 | 271.62 Mn |
| Feb 28, 2022 | 209.71 Mn |
| Nov 30, 2021 | 210.83 Mn |
Factset Research Systems Other Operating Expenses 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=other-operating-expenses&ticker=FDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();