Hancock Whitney (HWC) Long-Term Debt (2009 - 2026)
Hancock Whitney (HWC) posted Long-Term Debt of $212.21 million for Q3 2026, up 0.7% from $210.66 million a year earlier and up 9.5% from the prior quarter.
Hancock Whitney (HWC) Long-Term Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, Hancock Whitney's Long-Term Debt came in at $199.41 million, down 5.3% from FY2024.
- Annual Long-Term Debt has declined for five consecutive years, with a five-year compound annual growth rate of -12.0% (FY2020 to FY2025).
- In prior years, Hancock Whitney's Long-Term Debt was $210.54 million in FY2024 (-10.9%), $236.32 million in FY2023 (-2.4%), $242.08 million in FY2022 (-0.9%) and $244.22 million in FY2021 (-35.4%).
- The Q3 2026 figure stands as the highest quarterly Long-Term Debt since Q3 2024.
- On a year-over-year basis, Long-Term Debt increased in 1 of the last eight quarters, with an average decline of 8.0%.
- The strongest year-over-year quarter for Long-Term Debt in the past five years was Q3 2026, with growth of 0.7%; the weakest was Q1 2022, with a decline of 39.5%.
- According to Business Quant data, Long-Term Debt for the three prior quarters was $193.82 million (Q2 2026), $193.79 million (Q1 2026) and $199.41 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 460.16 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 3,598.37 Bn |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 318.69 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 298.00 Mn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 182.85 Bn |
| 10 | Hancock Whitney | 5.19 Bn | 2.93 Bn | - | 212.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 212.21 Mn |
| Jun 30, 2026 | 193.82 Mn |
| Mar 31, 2026 | 193.79 Mn |
| Dec 31, 2025 | 199.41 Mn |
| Sep 30, 2025 | 210.66 Mn |
| Jun 30, 2025 | 210.62 Mn |
| Mar 31, 2025 | 210.58 Mn |
| Dec 31, 2024 | 210.54 Mn |
| Sep 30, 2024 | 236.43 Mn |
| Jun 30, 2024 | 236.39 Mn |
| Mar 31, 2024 | 236.36 Mn |
| Dec 31, 2023 | 236.32 Mn |
| Sep 30, 2023 | 236.28 Mn |
| Jun 30, 2023 | 236.24 Mn |
| Mar 31, 2023 | 242.12 Mn |
| Dec 31, 2022 | 242.08 Mn |
| Sep 30, 2022 | 236.41 Mn |
| Jun 30, 2022 | 240.09 Mn |
| Mar 31, 2022 | 240.45 Mn |
| Dec 31, 2021 | 244.22 Mn |
Hancock Whitney Long-Term Debt 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=long-term-debt&ticker=HWC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt", "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=long-term-debt&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();