Cullen (CFR) Total Non-Current Liabilities (2009 - 2026)
Cullen's Total Non-Current Liabilities was $48.47 billion in Q2 2026, up 4.6% from $46.35 billion a year earlier and up 2.7% from the prior quarter.
Cullen (CFR) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Cullen came in at $47.69 billion, up 0.8% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $47.31 billion in FY2024 (+2.2%), $46.28 billion in FY2023 (-5.3%), $48.89 billion in FY2022 (+7.0%) and $45.68 billion in FY2021 (+22.3%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities since Q4 2022.
- Compared with a year earlier, Total Non-Current Liabilities has increased for eight straight quarters, with growth averaging 2.8% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2021 (growth of 22.3%); the worst was Q3 2023 (a decline of 8.0%).
- Per Business Quant data, CFR's Total Non-Current Liabilities in the three quarters before Q2 2026 was $47.19 billion (Q1 2026), $47.69 billion (Q4 2025) and $47.34 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 381.20 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1,603.10 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 2,449.29 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Cullen | 9.49 Bn | -21.09 Bn | - | 48.47 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.47 Bn |
| Mar 31, 2026 | 47.19 Bn |
| Dec 31, 2025 | 47.69 Bn |
| Sep 30, 2025 | 47.34 Bn |
| Jun 30, 2025 | 46.35 Bn |
| Mar 31, 2025 | 47.11 Bn |
| Dec 31, 2024 | 47.31 Bn |
| Sep 30, 2024 | 45.98 Bn |
| Jun 30, 2024 | 44.34 Bn |
| Mar 31, 2024 | 45.01 Bn |
| Dec 31, 2023 | 46.28 Bn |
| Sep 30, 2023 | 44.96 Bn |
| Jun 30, 2023 | 44.51 Bn |
| Mar 31, 2023 | 46.70 Bn |
| Dec 31, 2022 | 48.89 Bn |
| Sep 30, 2022 | 48.89 Bn |
| Jun 30, 2022 | 47.53 Bn |
| Mar 31, 2022 | 46.53 Bn |
| Dec 31, 2021 | 45.68 Bn |
| Sep 30, 2021 | 42.08 Bn |
Cullen 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=CFR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "CFR", "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=CFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();