Hancock Whitney (HWC) Loans - Loss Allowance (2009 - 2026)
Hancock Whitney (HWC) posted Loans - Loss Allowance of $312.61 million for Q2 2026, down 0.2% from $313.19 million a year earlier but up 0.4% from the prior quarter.
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Analysis
Hancock Whitney (HWC) Loans - Loss Allowance (2009 - 2026) Analysis & Trends
At the end of FY2025, Hancock Whitney's Loans - Loss Allowance came in at $307.73 million, down 3.5% from FY2024.
- Annual Loans - Loss Allowance shows a five-year compound annual growth rate of -7.3% (FY2020 to FY2025).
- In prior years, Hancock Whitney's Loans - Loss Allowance was $318.88 million in FY2024 (+3.6%), $307.91 million in FY2023 (unchanged), $307.79 million in FY2022 (-10.0%) and $342.07 million in FY2021 (-24.0%).
- Quarterly Loans - Loss Allowance has run from a low of $306.12 million in Q3 2022 to a high of $371.52 million in Q3 2021 over five years.
- On a year-over-year basis, Loans - Loss Allowance has declined in each of the last five quarters, with growth averaging 0.1% over the last eight quarters.
- The strongest year-over-year quarter for Loans - Loss Allowance in the past five years was Q3 2024, with growth of 3.6%; the weakest was Q1 2022, with a decline of 25.1%.
- According to Business Quant data, Loans - Loss Allowance for the three prior quarters was $311.32 million (Q1 2026), $307.73 million (Q4 2025) and $313.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 26.15 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 347,603.00 |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 13.11 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -5.33 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -331.64 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.91 Bn |
| 10 | Hancock Whitney | 5.80 Bn | 3.59 Bn | - | 312.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 312.61 Mn |
| Mar 31, 2026 | 311.32 Mn |
| Dec 31, 2025 | 307.73 Mn |
| Sep 30, 2025 | 313.64 Mn |
| Jun 30, 2025 | 313.19 Mn |
| Mar 31, 2025 | 318.12 Mn |
| Dec 31, 2024 | 318.88 Mn |
| Sep 30, 2024 | 317.27 Mn |
| Jun 30, 2024 | 316.15 Mn |
| Mar 31, 2024 | 313.73 Mn |
| Dec 31, 2023 | 307.91 Mn |
| Sep 30, 2023 | 306.29 Mn |
| Jun 30, 2023 | 314.50 Mn |
| Mar 31, 2023 | 309.39 Mn |
| Dec 31, 2022 | 307.79 Mn |
| Sep 30, 2022 | 306.12 Mn |
| Jun 30, 2022 | 308.18 Mn |
| Mar 31, 2022 | 317.84 Mn |
| Dec 31, 2021 | 342.07 Mn |
| Sep 30, 2021 | 371.52 Mn |
API Access
Hancock Whitney Loans - Loss Allowance 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=loans-loss-allowance&ticker=HWC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "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=loans-loss-allowance&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();