Factset Research Systems (FDS) Current Deferred Revenue (2010 - 2026)
Factset Research Systems (FDS) recorded Current Deferred Revenue of $183.49 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 7.4% from $170.9 million a year earlier but down 2.8% from the prior quarter.
Factset Research Systems (FDS) Current Deferred Revenue (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Factset Research Systems reported Current Deferred Revenue of $167.85 million, up 5.1% from FY2024.
- Annual Current Deferred Revenue has increased for six straight fiscal years, with a five-year compound annual growth rate of 25.5% (FY2020 to FY2025).
- Across earlier fiscal years, Current Deferred Revenue came in at $159.76 million in FY2024 (+4.8%), $152.43 million in FY2023 (+0.3%), $152.04 million in FY2022 (+140.9%) and $63.1 million in FY2021 (+16.9%).
- Quarterly Current Deferred Revenue has ranged from $54.78 million in fiscal Q1 2022 to $188.72 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Current Deferred Revenue has increased for ten consecutive quarters, with growth averaging 4.3% over the last eight quarters.
- Peak year-over-year performance for Current Deferred Revenue in the last five years was growth of 174.3% in fiscal Q1 2023, against a decline of 12.7% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $188.72 million (Q2 2026), $162.59 million (Q1 2026) and $167.85 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 115.73 Bn | 111.34 Bn | 2.98 Bn |
| 2 | Moodys | 78.77 Bn | 71.20 Bn | 1.67 Bn |
| 3 | Msci | 39.23 Bn | 37.58 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.59 Bn | 16.23 Bn | 572.90 Mn |
| 5 | Equifax | 16.56 Bn | 15.96 Bn | 926.40 Mn |
| 6 | TransUnion | 12.32 Bn | 9.30 Bn | - |
| 7 | Factset Research Systems | 9.30 Bn | 8.06 Bn | 310.73 Mn |
| 8 | Morningstar | 6.99 Bn | 4.89 Bn | 423.90 Mn |
| 9 | Mastercard | 490.78 Bn | 450.70 Bn | - |
| 10 | Cme | 94.57 Bn | 94.57 Bn | - |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 183.49 Mn |
| Feb 28, 2026 | 188.72 Mn |
| Nov 30, 2025 | 162.59 Mn |
| Aug 31, 2025 | 167.85 Mn |
| May 31, 2025 | 170.90 Mn |
| Feb 28, 2025 | 177.33 Mn |
| Nov 30, 2024 | 157.06 Mn |
| Aug 31, 2024 | 159.76 Mn |
| May 31, 2024 | 168.05 Mn |
| Feb 29, 2024 | 175.12 Mn |
| Nov 30, 2023 | 150.15 Mn |
| Aug 31, 2023 | 152.43 Mn |
| May 31, 2023 | 147.81 Mn |
| Feb 28, 2023 | 164.19 Mn |
| Nov 30, 2022 | 150.26 Mn |
| Aug 31, 2022 | 152.04 Mn |
| May 31, 2022 | 169.36 Mn |
| Feb 28, 2022 | 72.15 Mn |
| Nov 30, 2021 | 54.78 Mn |
| Aug 31, 2021 | 63.10 Mn |
Factset Research Systems Current Deferred 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=current-deferred-revenue&ticker=FDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-deferred-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=current-deferred-revenue&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();