Factset Research Systems (FDS) Current Assets (2010 - 2026)
Factset Research Systems (FDS) posted Current Assets of $651.89 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), down 10.7% from $729.76 million a year earlier and down 10.4% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Current Assets (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, Factset Research Systems has reported Current Assets for 65 quarters.
- Annual Current Assets shows a five-year compound annual growth rate of -6.9% (FY2021 to FY2026).
- In prior fiscal years, Factset Research Systems' Current Assets was $729.76 million in FY2025 (-12.7%), $835.85 million in FY2024 (+8.5%), $770.14 million in FY2023 (-11.5%) and $870.35 million in FY2022 (-6.8%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Current Assets since fiscal Q2 2020.
- On a year-over-year basis, Current Assets increased in 1 of the last eight quarters, with an average decline of 7.3%.
- The strongest year-over-year quarter for Current Assets in the past five years was fiscal Q2 2022, with growth of 25.7%; the weakest was fiscal Q2 2023, with a decline of 21.3%.
- According to Business Quant data, Current Assets for the three prior fiscal quarters was $727.52 million (Q3 2026), $724.18 million (Q2 2026) and $708.57 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 6.42 Bn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 4.22 Bn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 1.30 Bn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 1.12 Bn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 1.59 Bn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | 2.20 Bn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 651.89 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 1.06 Bn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 24.48 Bn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | 159.14 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 651.89 Mn |
| May 31, 2026 | 727.52 Mn |
| Feb 28, 2026 | 724.18 Mn |
| Nov 30, 2025 | 708.57 Mn |
| Aug 31, 2025 | 729.76 Mn |
| May 31, 2025 | 760.48 Mn |
| Feb 28, 2025 | 707.64 Mn |
| Nov 30, 2024 | 750.70 Mn |
| Aug 31, 2024 | 835.85 Mn |
| May 31, 2024 | 858.28 Mn |
| Feb 29, 2024 | 823.02 Mn |
| Nov 30, 2023 | 765.77 Mn |
| Aug 31, 2023 | 770.14 Mn |
| May 31, 2023 | 844.31 Mn |
| Feb 28, 2023 | 858.65 Mn |
| Nov 30, 2022 | 829.21 Mn |
| Aug 31, 2022 | 870.35 Mn |
| May 31, 2022 | 873.47 Mn |
| Feb 28, 2022 | 1.09 Bn |
| Nov 30, 2021 | 948.57 Mn |
API Access
Factset Research Systems Current 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=current-assets&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-assets&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();