Hancock Whitney (HWC) Provisions (2009 - 2026)
Hancock Whitney's Provisions came in at $13.78 million for Q2 2026, down 7.7% from $14.93 million a year earlier but up 4.6% from the prior quarter.
Hancock Whitney (HWC) Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hancock Whitney reported Provisions of $52.74 million, down 5.6% year-over-year; for FY2025, it was $51.18 million, down 1.9% from FY2024.
- Provisions carries a five-year compound annual growth rate of -38.9% (FY2020 to FY2025).
- Going back by year, Provisions was $52.17 million in FY2024 (-11.7%), $59.1 million in FY2023, -$28.4 million in FY2022 and -$77.49 million in FY2021.
- The five-year range for quarterly Provisions is -$28.4 million (Q4 2021) to $28.5 million (Q3 2023).
- Year-over-year, Provisions increased in three of the last eight quarters, with an average decline of 2.0%.
- The fastest year-over-year change in Provisions over five years came in Q4 2023 (growth of 581.6%), and the weakest in Q3 2024 (a decline of 34.9%).
- Business Quant data shows HWC's Provisions at $13.17 million (Q1 2026), $13.15 million (Q4 2025) and $12.65 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 914.00 Mn |
| 10 | Hancock Whitney | 5.80 Bn | 3.59 Bn | - | 13.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.78 Mn |
| Mar 31, 2026 | 13.17 Mn |
| Dec 31, 2025 | 13.15 Mn |
| Sep 30, 2025 | 12.65 Mn |
| Jun 30, 2025 | 14.93 Mn |
| Mar 31, 2025 | 10.46 Mn |
| Dec 31, 2024 | 11.91 Mn |
| Sep 30, 2024 | 18.56 Mn |
| Jun 30, 2024 | 8.72 Mn |
| Mar 31, 2024 | 12.97 Mn |
| Dec 31, 2023 | 16.95 Mn |
| Sep 30, 2023 | 28.50 Mn |
| Jun 30, 2023 | 7.63 Mn |
| Mar 31, 2023 | 6.02 Mn |
| Dec 31, 2022 | 2.49 Mn |
| Sep 30, 2022 | 1.40 Mn |
| Jun 30, 2022 | -9.76 Mn |
| Mar 31, 2022 | -22.53 Mn |
| Dec 31, 2021 | -28.40 Mn |
| Sep 30, 2021 | -26.96 Mn |
Hancock Whitney Provisions 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=provisions&ticker=HWC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "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=provisions&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();