Hancock Whitney (HWC) Consolidated Net Income (2009 - 2026)
Hancock Whitney (HWC) posted Consolidated Net Income of $126.96 million for Q2 2026, up 11.8% from $113.53 million a year earlier and up 167.7% from the prior quarter.
Hancock Whitney (HWC) Consolidated Net Income (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Consolidated Net Income at Hancock Whitney was $427.42 million, down 9.2% year-over-year; for FY2025, it was $486.07 million, up 5.5% from FY2024.
- In prior years, Hancock Whitney's Consolidated Net Income was $460.82 million in FY2024 (+17.4%), $392.6 million in FY2023 (-25.1%), $524.09 million in FY2022 (+13.1%) and $463.22 million in FY2021.
- Quarterly Consolidated Net Income has run from a low of $47.42 million in Q1 2026 to a high of $143.79 million in Q4 2022 over five years.
- On a year-over-year basis, Consolidated Net Income increased in six of the last eight quarters, with growth averaging 16.7%.
- The strongest year-over-year quarter for Consolidated Net Income in the past five years was Q4 2024, with growth of 141.2%; the weakest was Q4 2023, with a decline of 64.8%.
- According to Business Quant data, Consolidated Net Income for the three prior quarters was $47.42 million (Q1 2026), $125.57 million (Q4 2025) and $127.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 21.16 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | 228.63 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 9.07 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 5.65 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 4.32 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 5.85 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 6.63 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 6.65 Bn |
| 10 | Hancock Whitney | 5.88 Bn | 3.68 Bn | - | 126.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 126.96 Mn |
| Mar 31, 2026 | 47.42 Mn |
| Dec 31, 2025 | 125.57 Mn |
| Sep 30, 2025 | 127.47 Mn |
| Jun 30, 2025 | 113.53 Mn |
| Mar 31, 2025 | 119.50 Mn |
| Dec 31, 2024 | 122.07 Mn |
| Sep 30, 2024 | 115.57 Mn |
| Jun 30, 2024 | 114.56 Mn |
| Mar 31, 2024 | 108.61 Mn |
| Dec 31, 2023 | 50.60 Mn |
| Sep 30, 2023 | 97.74 Mn |
| Jun 30, 2023 | 117.79 Mn |
| Mar 31, 2023 | 126.47 Mn |
| Dec 31, 2022 | 143.79 Mn |
| Sep 30, 2022 | 135.39 Mn |
| Jun 30, 2022 | 121.44 Mn |
| Mar 31, 2022 | 123.48 Mn |
| Dec 31, 2021 | 137.74 Mn |
| Sep 30, 2021 | 129.58 Mn |
Hancock Whitney Consolidated Net Income 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=consolidated-net-income&ticker=HWC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();