Equifax (EFX) Total Non-Current Liabilities (2009 - 2026)
Equifax (EFX) recorded Total Non-Current Liabilities of $7.19 billion in Q3 2026, up 8.3% from $6.64 billion a year earlier but down 1.9% from the prior quarter.
Equifax (EFX) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Equifax reported Total Non-Current Liabilities of $7 billion, up 4.5% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $6.7 billion in FY2024 (-10.4%), $7.48 billion in FY2023 (+1.1%), $7.4 billion in FY2022 (+2.0%) and $7.25 billion in FY2021 (+16.5%).
- Quarterly Total Non-Current Liabilities has ranged from $6.56 billion in Q2 2025 to $7.82 billion in Q3 2023 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for four consecutive quarters, with an average decline of 0.6% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 27.7% in Q2 2022, against a decline of 10.6% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.33 billion (Q2 2026), $7.13 billion (Q1 2026) and $7 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | 8.47 Bn |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | 27.44 Bn |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | 10.51 Bn |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | 5.62 Bn |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | 7.19 Bn |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | 6.96 Bn |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | 2.11 Bn |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | 2.89 Bn |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | 46.71 Bn |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 164.75 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.19 Bn |
| Jun 30, 2026 | 7.33 Bn |
| Mar 31, 2026 | 7.13 Bn |
| Dec 31, 2025 | 7.00 Bn |
| Sep 30, 2025 | 6.64 Bn |
| Jun 30, 2025 | 6.56 Bn |
| Mar 31, 2025 | 6.62 Bn |
| Dec 31, 2024 | 6.70 Bn |
| Sep 30, 2024 | 7.15 Bn |
| Jun 30, 2024 | 7.17 Bn |
| Mar 31, 2024 | 7.40 Bn |
| Dec 31, 2023 | 7.48 Bn |
| Sep 30, 2023 | 7.82 Bn |
| Jun 30, 2023 | 7.15 Bn |
| Mar 31, 2023 | 7.33 Bn |
| Dec 31, 2022 | 7.40 Bn |
| Sep 30, 2022 | 7.36 Bn |
| Jun 30, 2022 | 7.22 Bn |
| Mar 31, 2022 | 7.35 Bn |
| Dec 31, 2021 | 7.25 Bn |
Equifax Total Non-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-non-current-liabilities&ticker=EFX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "EFX", "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-non-current-liabilities&ticker=EFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();