Regions Financial (RF) Total Non-Current Liabilities (2009 - 2026)
Regions Financial (RF) posted Total Non-Current Liabilities of $138.34 billion for Q2 2026, up 1.5% from $136.24 billion a year earlier and unchanged from the prior quarter.
Regions Financial (RF) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Regions Financial's Total Non-Current Liabilities came in at $136.01 billion, up 1.4% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- In prior years, Regions Financial's Total Non-Current Liabilities was $134.13 billion in FY2024 (+3.1%), $130.12 billion in FY2023 (-2.9%), $134.03 billion in FY2022 (-5.3%) and $141.48 billion in FY2021 (+12.2%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q2 2022.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last eight quarters, with growth averaging 2.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2021, with growth of 12.2%; the weakest was Q1 2023, with a decline of 7.4%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $138.28 billion (Q1 2026), $136.01 billion (Q4 2025) and $136.42 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 875.87 Bn | 905.35 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 397.50 Bn | 517.44 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 375.67 Bn | -2,000.39 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 321.90 Bn | 321.95 Bn | - | 381.20 Bn |
| 5 | Morgan Stanley | 298.16 Bn | -210.93 Bn | - | - |
| 6 | Mitsubishi Ufj Financial | 268.92 Bn | -1,319.57 Bn | 10.89 Bn | 2,449.29 Bn |
| 7 | Royal Bank Of Canada | 267.86 Bn | 118.60 Bn | - | 1,603.10 Bn |
| 8 | Goldman Sachs | 258.52 Bn | -3,298.59 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 243.07 Bn | 245.20 Bn | - | - |
| 10 | Regions Financial | 22.74 Bn | 22.81 Bn | - | 138.34 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 138.34 Bn |
| Mar 31, 2026 | 138.28 Bn |
| Dec 31, 2025 | 136.01 Bn |
| Sep 30, 2025 | 136.42 Bn |
| Jun 30, 2025 | 136.24 Bn |
| Mar 31, 2025 | 137.03 Bn |
| Dec 31, 2024 | 134.13 Bn |
| Sep 30, 2024 | 133.89 Bn |
| Jun 30, 2024 | 132.25 Bn |
| Mar 31, 2024 | 133.34 Bn |
| Dec 31, 2023 | 130.12 Bn |
| Sep 30, 2023 | 132.49 Bn |
| Jun 30, 2023 | 134.27 Bn |
| Mar 31, 2023 | 132.79 Bn |
| Dec 31, 2022 | 134.03 Bn |
| Sep 30, 2022 | 137.65 Bn |
| Jun 30, 2022 | 140.58 Bn |
| Mar 31, 2022 | 143.37 Bn |
| Dec 31, 2021 | 141.48 Bn |
| Sep 30, 2021 | 134.49 Bn |
Regions Financial 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=RF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "RF", "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=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();