Hancock Whitney (HWC) Total Non-Current Liabilities (2009 - 2026)
Hancock Whitney's Total Non-Current Liabilities came in at $31.53 billion for Q2 2026, up 3.6% from $30.45 billion a year earlier and up 2.5% from the prior quarter.
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Analysis
Hancock Whitney (HWC) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Hancock Whitney's Total Non-Current Liabilities was $30.63 billion, up 0.5% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $30.48 billion in FY2024 (-2.5%), $31.25 billion in FY2023 (-0.2%), $31.31 billion in FY2022 (-3.7%) and $32.52 billion in FY2021 (+8.7%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q3 2023.
- Year-over-year, Total Non-Current Liabilities has increased for four consecutive quarters, with an average decline of 0.5% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2021 (growth of 8.7%), and the weakest in Q1 2024 (a decline of 8.0%).
- Business Quant data shows HWC's Total Non-Current Liabilities at $30.78 billion (Q1 2026), $30.63 billion (Q4 2025) and $30.9 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Hancock Whitney | 5.80 Bn | 3.59 Bn | - | 31.53 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.53 Bn |
| Mar 31, 2026 | 30.78 Bn |
| Dec 31, 2025 | 30.63 Bn |
| Sep 30, 2025 | 30.90 Bn |
| Jun 30, 2025 | 30.45 Bn |
| Mar 31, 2025 | 30.08 Bn |
| Dec 31, 2024 | 30.48 Bn |
| Sep 30, 2024 | 30.63 Bn |
| Jun 30, 2024 | 30.95 Bn |
| Mar 31, 2024 | 30.85 Bn |
| Dec 31, 2023 | 31.25 Bn |
| Sep 30, 2023 | 32.16 Bn |
| Jun 30, 2023 | 32.07 Bn |
| Mar 31, 2023 | 33.52 Bn |
| Dec 31, 2022 | 31.31 Bn |
| Sep 30, 2022 | 30.86 Bn |
| Jun 30, 2022 | 30.86 Bn |
| Mar 31, 2022 | 32.48 Bn |
| Dec 31, 2021 | 32.52 Bn |
| Sep 30, 2021 | 31.35 Bn |
API Access
Hancock Whitney 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=HWC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "HWC", "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=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();