Factset Research Systems (FDS) Total Current Liabilities (2010 - 2026)
Factset Research Systems' Total Current Liabilities was $1.09 billion in fiscal Q4 2026 (quarter ended Aug 31, 2026), up 109.0% from $521.31 million a year earlier and up 2.3% from the prior quarter.
Powered by 
Analysis
Factset Research Systems (FDS) Total Current Liabilities (2010 - 2026) Analysis & Trends
From fiscal Q4 2010 onward, Factset Research Systems has reported Total Current Liabilities for 65 quarters.
- Total Current Liabilities shows a five-year compound annual growth rate of 28.1% (FY2021 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $521.31 million in FY2025 (-21.9%), $667.07 million in FY2024 (+37.8%), $484.25 million in FY2023 (+10.5%) and $438.29 million in FY2022 (+38.8%).
- The fiscal Q4 2026 figure marks the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2010.
- Compared with a year earlier, Total Current Liabilities has increased for three straight quarters, with growth averaging 22.8% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q4 2026 (growth of 109.0%); the worst was fiscal Q3 2025 (a decline of 22.7%).
- Per Business Quant data, FDS's Total Current Liabilities in the three fiscal quarters before Q4 2026 was $1.06 billion (Q3 2026), $505.93 million (Q2 2026) and $458.77 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 8.72 Bn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 3.28 Bn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 1.57 Bn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 1.12 Bn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 1.46 Bn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | 1.08 Bn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 1.09 Bn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 1.02 Bn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 24.20 Bn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | 156.11 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.09 Bn |
| May 31, 2026 | 1.06 Bn |
| Feb 28, 2026 | 505.93 Mn |
| Nov 30, 2025 | 458.77 Mn |
| Aug 31, 2025 | 521.31 Mn |
| May 31, 2025 | 518.92 Mn |
| Feb 28, 2025 | 481.83 Mn |
| Nov 30, 2024 | 538.14 Mn |
| Aug 31, 2024 | 667.07 Mn |
| May 31, 2024 | 671.51 Mn |
| Feb 29, 2024 | 459.75 Mn |
| Nov 30, 2023 | 455.89 Mn |
| Aug 31, 2023 | 484.25 Mn |
| May 31, 2023 | 400.94 Mn |
| Feb 28, 2023 | 410.81 Mn |
| Nov 30, 2022 | 384.02 Mn |
| Aug 31, 2022 | 438.29 Mn |
| May 31, 2022 | 412.72 Mn |
| Feb 28, 2022 | 293.24 Mn |
| Nov 30, 2021 | 272.56 Mn |
API Access
Factset Research Systems Total Current Liabilities 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=total-current-liabilities&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();