Hancock Whitney (HWC) Other Accumulated Expenses (2010 - 2026)
Hancock Whitney's Other Accumulated Expenses was $14.54 million in Q2 2026, down 16.0% from $17.31 million a year earlier and down 0.1% from the prior quarter.
Powered by 
Analysis
Hancock Whitney (HWC) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Hancock Whitney came in at $14.49 million, down 28.1% from FY2024.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 27.4% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $20.15 million in FY2024 (-55.2%), $45 million in FY2023 (+352.9%), $9.94 million in FY2022 (+220.2%) and $3.1 million in FY2021 (-28.1%).
- Quarterly Other Accumulated Expenses has moved between $2.01 million (Q2 2022) and $52.57 million (Q3 2023) over five years.
- Compared with a year earlier, Other Accumulated Expenses has declined for nine straight quarters, with an average decline of 37.4% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was Q3 2023 (growth of 796.6%); the worst was Q1 2025 (a decline of 59.4%).
- Per Business Quant data, HWC's Other Accumulated Expenses in the three quarters before Q2 2026 was $14.56 million (Q1 2026), $14.49 million (Q4 2025) and $17.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | Hancock Whitney | 5.88 Bn | 3.68 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.54 Mn |
| Mar 31, 2026 | 14.56 Mn |
| Dec 31, 2025 | 14.49 Mn |
| Sep 30, 2025 | 17.25 Mn |
| Jun 30, 2025 | 17.31 Mn |
| Mar 31, 2025 | 18.02 Mn |
| Dec 31, 2024 | 20.15 Mn |
| Sep 30, 2024 | 26.91 Mn |
| Jun 30, 2024 | 27.13 Mn |
| Mar 31, 2024 | 44.37 Mn |
| Dec 31, 2023 | 45.00 Mn |
| Sep 30, 2023 | 52.57 Mn |
| Jun 30, 2023 | 35.64 Mn |
| Mar 31, 2023 | 21.82 Mn |
| Dec 31, 2022 | 9.94 Mn |
| Sep 30, 2022 | 5.86 Mn |
| Jun 30, 2022 | 2.01 Mn |
| Mar 31, 2022 | 3.00 Mn |
| Dec 31, 2021 | 3.10 Mn |
| Sep 30, 2021 | 3.06 Mn |
API Access
Hancock Whitney Other Accumulated Expenses 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=other-accumulated-expenses&ticker=HWC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();