Factset Research Systems (FDS) Prepaid Assets (2009 - 2026)
Factset Research Systems' Prepaid Assets was $11.41 million in fiscal Q4 2026 (quarter ended Aug 31, 2026), down 66.1% from $33.6 million a year earlier and down 80.4% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Prepaid Assets (2009 - 2026) Analysis & Trends
From fiscal Q4 2010 onward, Factset Research Systems has reported Prepaid Assets for 64 quarters.
- Prepaid Assets shows a five-year compound annual growth rate of -25.8% (FY2021 to FY2026).
- In earlier fiscal years, Prepaid Assets was $33.6 million in FY2025 (-44.1%), $60.09 million in FY2024 (+18.7%), $50.61 million in FY2023 (-44.5%) and $91.21 million in FY2022 (+80.2%).
- The fiscal Q4 2026 figure marks the lowest quarterly Prepaid Assets since fiscal Q1 2012.
- Compared with a year earlier, Prepaid Assets was higher in five of the last eight quarters, with growth averaging 4.6%.
- The best year-over-year quarter for Prepaid Assets over five years was fiscal Q4 2022 (growth of 80.2%); the worst was fiscal Q4 2026 (a decline of 66.1%).
- Per Business Quant data, FDS's Prepaid Assets in the three fiscal quarters before Q4 2026 was $58.33 million (Q3 2026), $90 million (Q2 2026) and $100.85 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 11.41 Mn |
| May 31, 2026 | 58.33 Mn |
| Feb 28, 2026 | 90.00 Mn |
| Nov 30, 2025 | 100.85 Mn |
| Aug 31, 2025 | 33.60 Mn |
| May 31, 2025 | 63.53 Mn |
| Feb 28, 2025 | 75.93 Mn |
| Nov 30, 2024 | 78.68 Mn |
| Aug 31, 2024 | 60.09 Mn |
| May 31, 2024 | 51.73 Mn |
| Feb 29, 2024 | 58.05 Mn |
| Nov 30, 2023 | 50.85 Mn |
| Aug 31, 2023 | 50.61 Mn |
| May 31, 2023 | 66.17 Mn |
| Feb 28, 2023 | 82.29 Mn |
| Nov 30, 2022 | 99.83 Mn |
| Aug 31, 2022 | 91.21 Mn |
| May 31, 2022 | 55.07 Mn |
| Feb 28, 2022 | 57.79 Mn |
| Nov 30, 2021 | 58.45 Mn |
API Access
Factset Research Systems Prepaid Assets 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=prepaid-assets&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();