Hancock Whitney (HWC) Wages, Salaries and Other (2009 - 2026)
Hancock Whitney's Wages, Salaries and Other was $144.75 million in Q3 2026, up 18.6% from $122.02 million a year earlier and up 11.2% from the prior quarter.
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Analysis
Hancock Whitney (HWC) Wages, Salaries and Other (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hancock Whitney's Wages, Salaries and Other was $524.6 million through Sep 30, 2026, up 12.4% year-over-year; for FY2025, it was $475.39 million, up 1.3% from FY2024.
- Wages, Salaries and Other shows a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- In earlier years, Wages, Salaries and Other was $469.38 million in FY2024 (+1.9%), $460.8 million in FY2023 (unchanged), $460.64 million in FY2022 (-4.5%) and $482.38 million in FY2021 (+3.9%).
- The Q3 2026 figure marks the highest quarterly Wages, Salaries and Other in data going back to Q2 2009.
- Compared with a year earlier, Wages, Salaries and Other has increased for five straight quarters, with growth averaging 5.8% over the last eight quarters.
- The best year-over-year quarter for Wages, Salaries and Other over five years was Q3 2026 (growth of 18.6%); the worst was Q2 2022 (a decline of 19.3%).
- Per Business Quant data, HWC's Wages, Salaries and Other in the three quarters before Q3 2026 was $130.19 million (Q2 2026), $127.15 million (Q1 2026) and $122.51 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 14.77 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 10.97 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 8.00 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 4.51 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 5.12 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 8.75 Bn |
| 10 | Hancock Whitney | 5.19 Bn | 2.93 Bn | - | 144.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 144.75 Mn |
| Jun 30, 2026 | 130.19 Mn |
| Mar 31, 2026 | 127.15 Mn |
| Dec 31, 2025 | 122.51 Mn |
| Sep 30, 2025 | 122.02 Mn |
| Jun 30, 2025 | 116.51 Mn |
| Mar 31, 2025 | 114.35 Mn |
| Dec 31, 2024 | 113.72 Mn |
| Sep 30, 2024 | 115.77 Mn |
| Jun 30, 2024 | 118.73 Mn |
| Mar 31, 2024 | 121.16 Mn |
| Dec 31, 2023 | 114.34 Mn |
| Sep 30, 2023 | 116.27 Mn |
| Jun 30, 2023 | 114.86 Mn |
| Mar 31, 2023 | 115.32 Mn |
| Dec 31, 2022 | 119.15 Mn |
| Sep 30, 2022 | 118.92 Mn |
| Jun 30, 2022 | 115.17 Mn |
| Mar 31, 2022 | 107.40 Mn |
| Dec 31, 2021 | 108.13 Mn |
API Access
Hancock Whitney Wages, Salaries and Other 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=wages-salaries-and-other&ticker=HWC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();