Hancock Whitney (HWC) Tax Provisions (2009 - 2026)
Hancock Whitney (HWC) posted Tax Provisions of $35.19 million for Q2 2026, up 13.3% from $31.05 million a year earlier and up 211.3% from the prior quarter.
Hancock Whitney (HWC) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Hancock Whitney was $112.1 million, down 5.7% year-over-year; for FY2025, it came in at $126.32 million, up 11.6% from FY2024.
- In prior years, Hancock Whitney's Tax Provisions was $113.16 million in FY2024 (+16.0%), $97.53 million in FY2023 (-27.8%), $135.11 million in FY2022 (+28.9%) and $104.84 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Tax Provisions since Q4 2022.
- On a year-over-year basis, Tax Provisions increased in seven of the last eight quarters, with growth averaging 20.6%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q4 2024, with growth of 143.0%; the weakest was Q4 2023, with a decline of 67.6%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $11.31 million (Q1 2026), $32.73 million (Q4 2025) and $32.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Hancock Whitney | 5.80 Bn | 3.59 Bn | - | 35.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.19 Mn |
| Mar 31, 2026 | 11.31 Mn |
| Dec 31, 2025 | 32.73 Mn |
| Sep 30, 2025 | 32.87 Mn |
| Jun 30, 2025 | 31.05 Mn |
| Mar 31, 2025 | 29.67 Mn |
| Dec 31, 2024 | 28.45 Mn |
| Sep 30, 2024 | 29.68 Mn |
| Jun 30, 2024 | 30.31 Mn |
| Mar 31, 2024 | 24.72 Mn |
| Dec 31, 2023 | 11.71 Mn |
| Sep 30, 2023 | 24.30 Mn |
| Jun 30, 2023 | 29.57 Mn |
| Mar 31, 2023 | 31.95 Mn |
| Dec 31, 2022 | 36.14 Mn |
| Sep 30, 2022 | 35.35 Mn |
| Jun 30, 2022 | 32.61 Mn |
| Mar 31, 2022 | 31.01 Mn |
| Dec 31, 2021 | 27.10 Mn |
| Sep 30, 2021 | 30.74 Mn |
Hancock Whitney Tax 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=tax-provisions&ticker=HWC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-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=tax-provisions&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();