Factset Research Systems (FDS) Non-Current Assets (2010 - 2026)
Factset Research Systems' Non-Current Assets came in at $3.46 billion for fiscal Q3 2026 (quarter ended May 31, 2026), down 3.2% from $3.58 billion a year earlier and down 0.9% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Factset Research Systems' Non-Current Assets was $3.57 billion, up 11.0% from FY2024.
- Non-Current Assets has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 23.6% (FY2020 to FY2025).
- Going back by fiscal year, Non-Current Assets was $3.22 billion in FY2024 (+0.8%), $3.19 billion in FY2023 (+1.6%), $3.14 billion in FY2022 (+143.5%) and $1.29 billion in FY2021 (+4.0%).
- The fiscal Q3 2026 figure represents the lowest quarterly Non-Current Assets since fiscal Q1 2025.
- Year-over-year, Non-Current Assets increased in six of the last eight quarters, with growth averaging 5.2%.
- The fastest year-over-year change in Non-Current Assets over five years came in fiscal Q3 2022 (growth of 146.1%), and the weakest in fiscal Q3 2026 (a decline of 3.2%).
- Business Quant data shows FDS's Non-Current Assets at $3.5 billion (Q2 2026), $3.51 billion (Q1 2026) and $3.57 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 54.20 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 10.69 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 4.17 Bn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 3.37 Bn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 10.40 Bn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 10.01 Bn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 3.46 Bn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 2.91 Bn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 31.17 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 33.05 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 3.46 Bn |
| Feb 28, 2026 | 3.50 Bn |
| Nov 30, 2025 | 3.51 Bn |
| Aug 31, 2025 | 3.57 Bn |
| May 31, 2025 | 3.58 Bn |
| Feb 28, 2025 | 3.53 Bn |
| Nov 30, 2024 | 3.30 Bn |
| Aug 31, 2024 | 3.22 Bn |
| May 31, 2024 | 3.18 Bn |
| Feb 29, 2024 | 3.17 Bn |
| Nov 30, 2023 | 3.19 Bn |
| Aug 31, 2023 | 3.19 Bn |
| May 31, 2023 | 3.15 Bn |
| Feb 28, 2023 | 3.14 Bn |
| Nov 30, 2022 | 3.15 Bn |
| Aug 31, 2022 | 3.14 Bn |
| May 31, 2022 | 3.20 Bn |
| Feb 28, 2022 | 1.28 Bn |
| Nov 30, 2021 | 1.31 Bn |
| Aug 31, 2021 | 1.29 Bn |
API Access
Factset Research Systems 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=non-current-assets&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=non-current-assets&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();