Factset Research Systems (FDS) Other Non-Current Assets (2010 - 2026)
Factset Research Systems (FDS) reported Other Non-Current Assets of $69.06 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 33.3% from $103.53 million a year earlier but up 20.9% from the prior quarter.
Factset Research Systems (FDS) Other Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Factset Research Systems posted Other Non-Current Assets of $105.5 million, up 17.8% from FY2024.
- Other Non-Current Assets has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 29.8% (FY2020 to FY2025).
- By fiscal year, Other Non-Current Assets came in at $89.58 million in FY2024 (+21.6%), $73.68 million in FY2023 (+90.1%), $38.75 million in FY2022 (+31.4%) and $29.48 million in FY2021 (+3.0%).
- Five-year quarterly Other Non-Current Assets spans a low of $29.48 million in fiscal Q4 2021 and a high of $105.5 million in fiscal Q4 2025.
- Year over year, Other Non-Current Assets has now declined in each of the last three quarters, with growth averaging 5.4% over the last eight quarters.
- The high point for year-over-year Other Non-Current 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 Q3 2026 came in at $57.14 million (Q2 2026), $62.68 million (Q1 2026) and $105.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 115.73 Bn | 111.34 Bn | 2.98 Bn | 895.00 Mn |
| 2 | Moodys | 78.77 Bn | 71.20 Bn | 1.67 Bn | 1.09 Bn |
| 3 | Msci | 39.23 Bn | 37.58 Bn | 717.10 Mn | 55.80 Mn |
| 4 | Verisk Analytics | 21.59 Bn | 16.23 Bn | 572.90 Mn | 455.60 Mn |
| 5 | Equifax | 16.56 Bn | 15.96 Bn | 926.40 Mn | 359.60 Mn |
| 6 | TransUnion | 12.32 Bn | 9.30 Bn | - | 408.80 Mn |
| 7 | Factset Research Systems | 9.30 Bn | 8.06 Bn | 310.73 Mn | 69.06 Mn |
| 8 | Morningstar | 6.99 Bn | 4.89 Bn | 423.90 Mn | 28.70 Mn |
| 9 | Mastercard | 490.78 Bn | 450.70 Bn | - | 12.22 Bn |
| 10 | Cme | 94.57 Bn | 94.57 Bn | - | 2.52 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 31, 2021 | 29.48 Mn |
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_KEY
import 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();