Factset Research Systems (FDS) Change in Receivables (2009 - 2026)
Factset Research Systems (FDS) reported Change in Receivables of $10.19 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), up 872.4% from $1.05 million a year earlier.
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Analysis
Factset Research Systems (FDS) Change in Receivables (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), Factset Research Systems posted Change in Receivables of $34.57 million, down 18.7% from FY2025.
- By fiscal year, Change in Receivables came in at $42.54 million in FY2025, -$2.2 million in FY2024, $40.1 million in FY2023 (+21.6%) and $32.98 million in FY2022.
- Five-year quarterly Change in Receivables spans a low of -$32.29 million in fiscal Q3 2024 and a high of $32.44 million in fiscal Q2 2022.
- Year over year, Change in Receivables gained in three of the last five quarters, with growth averaging 202.1%.
- The high point for year-over-year Change in Receivables in five years was fiscal Q4 2026 (growth of 872.4%); the low point was fiscal Q1 2024 (a decline of 58.7%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at -$26.64 million (Q3 2026), $31.78 million (Q2 2026) and $19.23 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | -127.00 Mn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | -86.00 Mn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | -27.10 Mn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | -151.40 Mn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 500,000.00 |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | -21.70 Mn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 10.19 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 43.10 Mn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 213.00 Mn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | 35.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 10.19 Mn |
| May 31, 2026 | -26.64 Mn |
| Feb 28, 2026 | 31.78 Mn |
| Nov 30, 2025 | 19.23 Mn |
| Aug 31, 2025 | 1.05 Mn |
| May 31, 2025 | -4.73 Mn |
| Feb 28, 2025 | 22.85 Mn |
| Nov 30, 2024 | 23.38 Mn |
| Aug 31, 2024 | -9.37 Mn |
| May 31, 2024 | -32.29 Mn |
| Feb 29, 2024 | 29.71 Mn |
| Nov 30, 2023 | 9.76 Mn |
| Aug 31, 2023 | 2.22 Mn |
| May 31, 2023 | -16.42 Mn |
| Feb 28, 2023 | 30.65 Mn |
| Nov 30, 2022 | 23.65 Mn |
| Aug 31, 2022 | -6.03 Mn |
| May 31, 2022 | 1.30 Mn |
| Feb 28, 2022 | 32.44 Mn |
| Nov 30, 2021 | 5.27 Mn |
API Access
Factset Research Systems Change in Receivables 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=change-in-receivables&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();