Factset Research Systems (FDS) Non-Current Deffered Revenue (2017 - 2025)
Factset Research Systems' Non-Current Deffered Revenue came in at $624,000 for fiscal Q4 2025 (quarter ended Aug 31, 2025), down 53.6% from $1.34 million a year earlier but up 100.0% from the prior quarter.
Factset Research Systems (FDS) Non-Current Deffered Revenue (2017 - 2025) Analysis & Trends
Going back to fiscal Q3 2017, Factset Research Systems' Non-Current Deffered Revenue data covers 34 quarters.
- Non-Current Deffered Revenue has declined in each of the last six fiscal years, with a five-year compound annual growth rate of -41.8% (FY2020 to FY2025).
- Going back by fiscal year, Non-Current Deffered Revenue was $1.34 million in FY2024 (-64.0%), $3.73 million in FY2023 (-48.2%), $7.21 million in FY2022 (-14.1%) and $8.39 million in FY2021 (-9.9%).
- The five-year range for quarterly Non-Current Deffered Revenue is $312,000 (fiscal Q3 2025) to $9.43 million (fiscal Q2 2021).
- Year-over-year, Non-Current Deffered Revenue has declined for 11 consecutive quarters, with an average decline of 68.0% over the last eight quarters.
- The fastest year-over-year change in Non-Current Deffered Revenue over five years came in fiscal Q1 2023 (growth of 12.7%), and the weakest in fiscal Q2 2025 (a decline of 86.0%).
- Business Quant data shows FDS's Non-Current Deffered Revenue at $312,000 (Q3 2025), $446,000 (Q2 2025) and $914,000 (Q1 2025) in the three fiscal quarters before Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Deffered Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | - |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 53.00 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | - |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | - |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | - |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | - |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | - |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 19.10 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | - |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2025 | 624,000.00 |
| May 31, 2025 | 312,000.00 |
| Feb 28, 2025 | 446,000.00 |
| Nov 30, 2024 | 914,000.00 |
| Aug 31, 2024 | 1.34 Mn |
| May 31, 2024 | 1.93 Mn |
| Feb 29, 2024 | 3.18 Mn |
| Nov 30, 2023 | 3.47 Mn |
| Aug 31, 2023 | 3.73 Mn |
| May 31, 2023 | 7.58 Mn |
| Feb 28, 2023 | 6.14 Mn |
| Nov 30, 2022 | 8.70 Mn |
| Aug 31, 2022 | 7.21 Mn |
| May 31, 2022 | 8.17 Mn |
| Feb 28, 2022 | 7.23 Mn |
| Nov 30, 2021 | 7.72 Mn |
| Aug 31, 2021 | 8.39 Mn |
| May 31, 2021 | 8.68 Mn |
| Feb 28, 2021 | 9.43 Mn |
| Nov 30, 2020 | 9.15 Mn |
Factset Research Systems Non-Current Deffered Revenue 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-deffered-revenue&ticker=FDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deffered-revenue", "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-deffered-revenue&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();