Factset Research Systems (FDS) Accounts Payables (2010 - 2026)
Factset Research Systems (FDS) recorded Accounts Payables of $163.98 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 13.5% from $144.49 million a year earlier and up 9.9% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Factset Research Systems reported Accounts Payables of $135.26 million, down 24.1% from FY2024.
- Annual Accounts Payables has a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- Across earlier fiscal years, Accounts Payables came in at $178.25 million in FY2024 (+46.3%), $121.82 million in FY2023 (+12.4%), $108.4 million in FY2022 (+26.4%) and $85.78 million in FY2021 (+4.5%).
- The fiscal Q3 2026 figure is the highest quarterly Accounts Payables since fiscal Q4 2024.
- On a year-over-year basis, Accounts Payables rose in six of the last eight quarters, with growth averaging 7.0%.
- Peak year-over-year performance for Accounts Payables in the last five years was growth of 46.3% in fiscal Q4 2024, against a decline of 24.1% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $149.24 million (Q2 2026), $149.28 million (Q1 2026) and $135.26 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 611.00 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 1.09 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 17.20 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 254.30 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 126.60 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 404.90 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 163.98 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 91.90 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 1.13 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 68.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 163.98 Mn |
| Feb 28, 2026 | 149.24 Mn |
| Nov 30, 2025 | 149.28 Mn |
| Aug 31, 2025 | 135.26 Mn |
| May 31, 2025 | 144.49 Mn |
| Feb 28, 2025 | 131.10 Mn |
| Nov 30, 2024 | 151.30 Mn |
| Aug 31, 2024 | 178.25 Mn |
| May 31, 2024 | 138.38 Mn |
| Feb 29, 2024 | 128.16 Mn |
| Nov 30, 2023 | 150.19 Mn |
| Aug 31, 2023 | 121.82 Mn |
| May 31, 2023 | 110.28 Mn |
| Feb 28, 2023 | 120.22 Mn |
| Nov 30, 2022 | 122.71 Mn |
| Aug 31, 2022 | 108.40 Mn |
| May 31, 2022 | 100.32 Mn |
| Feb 28, 2022 | 90.26 Mn |
| Nov 30, 2021 | 105.48 Mn |
| Aug 31, 2021 | 85.78 Mn |
API Access
Factset Research Systems Accounts Payables 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=accounts-payables&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();