Factset Research Systems (FDS) Other Non-Current Assets (2009 - 2026)
Factset Research Systems (FDS) reported Other Assets of $88.52 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), down 16.1% from $105.5 million a year earlier but up 28.2% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Other Non-Current Assets (2009 - 2026) Analysis & Trends
Dating back to fiscal Q4 2010, Factset Research Systems' Other Assets record includes 65 quarters.
- Other Assets has a five-year compound annual growth rate of 24.6% (FY2021 to FY2026).
- By fiscal year, Other Assets came in at $105.5 million in FY2025 (+17.8%), $89.58 million in FY2024 (+21.6%), $73.68 million in FY2023 (+90.1%) and $38.75 million in FY2022 (+31.4%).
- Five-year quarterly Other Assets spans a low of $31.02 million in fiscal Q1 2022 and a high of $105.5 million in fiscal Q4 2025.
- Year over year, Other Assets has now declined in each of the last four quarters, with growth averaging 0.7% over the last eight quarters.
- The high point for year-over-year Other Assets in five years was fiscal Q4 2023 (growth of 90.1%); the low point was fiscal Q2 2026 (a decline of 43.8%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $69.06 million (Q3 2026), $57.14 million (Q2 2026) and $62.68 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | 53.40 Mn |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | 883.00 Mn |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | 1.08 Bn |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | 430.70 Mn |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | 357.50 Mn |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | 421.40 Mn |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | 88.52 Mn |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | 46.50 Mn |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | 12.95 Bn |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 2.49 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 88.52 Mn |
| May 31, 2026 | 69.06 Mn |
| Feb 28, 2026 | 57.14 Mn |
| Nov 30, 2025 | 62.68 Mn |
| Aug 31, 2025 | 105.50 Mn |
| May 31, 2025 | 103.53 Mn |
| Feb 28, 2025 | 101.58 Mn |
| Nov 30, 2024 | 96.00 Mn |
| Aug 31, 2024 | 89.58 Mn |
| May 31, 2024 | 70.47 Mn |
| Feb 29, 2024 | 64.12 Mn |
| Nov 30, 2023 | 86.87 Mn |
| Aug 31, 2023 | 73.68 Mn |
| May 31, 2023 | 61.46 Mn |
| Feb 28, 2023 | 57.66 Mn |
| Nov 30, 2022 | 53.43 Mn |
| Aug 31, 2022 | 38.75 Mn |
| May 31, 2022 | 37.73 Mn |
| Feb 28, 2022 | 39.09 Mn |
| Nov 30, 2021 | 31.02 Mn |
API Access
Factset Research Systems Other Non-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=other-non-current-assets&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-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=other-non-current-assets&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();