Factset Research Systems (FDS) Accounts Payables (2010 - 2026)
Factset Research Systems (FDS) recorded Accounts Payables of $136.1 million in fiscal Q4 2026 (quarter ended Aug 31, 2026), up 0.6% from $135.26 million a year earlier but down 17.0% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Accounts Payables (2010 - 2026) Analysis & Trends
Starting with fiscal Q4 2010, Factset Research Systems' Accounts Payables history includes 65 quarters.
- Annual Accounts Payables has a five-year compound annual growth rate of 9.7% (FY2021 to FY2026).
- Across earlier fiscal years, Accounts Payables came in at $135.26 million in FY2025 (-24.1%), $178.25 million in FY2024 (+46.3%), $121.82 million in FY2023 (+12.4%) and $108.4 million in FY2022 (+26.4%).
- Quarterly Accounts Payables has ranged from $90.26 million in fiscal Q2 2022 to $178.25 million in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Accounts Payables has increased for three consecutive quarters, with growth averaging 1.2% over the last eight quarters.
- 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 $163.98 million (Q3 2026), $149.24 million (Q2 2026) and $149.28 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 507.00 Mn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 1.22 Bn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 5.90 Mn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 254.30 Mn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 115.30 Mn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | 409.20 Mn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 136.10 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 101.70 Mn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 1.08 Bn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | 67.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 136.10 Mn |
| 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 |
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();