Hancock Whitney (HWC) Other Liabilities (2009 - 2026)
Hancock Whitney (HWC) posted Other Liabilities of $370.27 million for Q2 2026, down 7.4% from $400.01 million a year earlier but up 6.6% from the prior quarter.
Hancock Whitney (HWC) Other Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Hancock Whitney's Other Liabilities came in at $380.18 million, down 19.8% from FY2024.
- Annual Other Liabilities has declined for three consecutive years, though with a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In prior years, Hancock Whitney's Other Liabilities was $473.77 million in FY2024 (-9.4%), $523.09 million in FY2023 (-1.5%), $531.14 million in FY2022 (+55.7%) and $341.06 million in FY2021 (+25.6%).
- Quarterly Other Liabilities has run from a low of $333.59 million in Q3 2021 to a high of $635.51 million in Q3 2023 over five years.
- On a year-over-year basis, Other Liabilities has declined in each of the last nine quarters, with an average decline of 18.1% over the last eight quarters.
- The strongest year-over-year quarter for Other Liabilities in the past five years was Q3 2022, with growth of 59.0%; the weakest was Q3 2024, with a decline of 31.9%.
- According to Business Quant data, Other Liabilities for the three prior quarters was $347.32 million (Q1 2026), $380.18 million (Q4 2025) and $389.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 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 | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - |
| 10 | Hancock Whitney | 5.19 Bn | 2.93 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 515.44 Mn |
| Jun 30, 2026 | 370.27 Mn |
| Mar 31, 2026 | 347.32 Mn |
| Dec 31, 2025 | 380.18 Mn |
| Sep 30, 2025 | 389.95 Mn |
| Jun 30, 2025 | 400.01 Mn |
| Mar 31, 2025 | 391.61 Mn |
| Dec 31, 2024 | 473.77 Mn |
| Sep 30, 2024 | 432.52 Mn |
| Jun 30, 2024 | 545.63 Mn |
| Mar 31, 2024 | 548.32 Mn |
| Dec 31, 2023 | 523.09 Mn |
| Sep 30, 2023 | 635.51 Mn |
| Jun 30, 2023 | 585.00 Mn |
| Mar 31, 2023 | 498.48 Mn |
| Dec 31, 2022 | 531.14 Mn |
| Sep 30, 2022 | 530.46 Mn |
| Jun 30, 2022 | 430.69 Mn |
| Mar 31, 2022 | 382.09 Mn |
| Dec 31, 2021 | 341.06 Mn |
Hancock Whitney Other 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=other-liabilities&ticker=HWC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-liabilities&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();