Hancock Whitney (HWC) Rent Expense (2009 - 2026)
Hancock Whitney's Rent Expense was $13.86 million in Q2 2026, up 0.2% from $13.83 million a year earlier and up 5.5% from the prior quarter.
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Analysis
Hancock Whitney (HWC) Rent Expense (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hancock Whitney's Rent Expense was $55.45 million through Jun 30, 2026, up 1.7% year-over-year; for FY2025, it came in at $55.87 million, up 4.1% from FY2024.
- Rent Expense has now increased for three consecutive years, with a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- In earlier years, Rent Expense was $53.65 million in FY2024 (+4.0%), $51.57 million in FY2023 (+5.8%), $48.77 million in FY2022 (-2.0%) and $49.79 million in FY2021 (-5.3%).
- Quarterly Rent Expense has moved between $11.68 million (Q1 2022) and $14.4 million (Q4 2025) over five years.
- Compared with a year earlier, Rent Expense was higher in six of the last eight quarters, with growth averaging 2.1%.
- The best year-over-year quarter for Rent Expense over five years was Q1 2024 (growth of 9.7%); the worst was Q4 2021 (a decline of 10.3%).
- Per Business Quant data, HWC's Rent Expense in the three quarters before Q2 2026 was $13.13 million (Q1 2026), $14.4 million (Q4 2025) and $14.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 803.00 Mn |
| 10 | Hancock Whitney | 5.80 Bn | 3.59 Bn | - | 13.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.86 Mn |
| Mar 31, 2026 | 13.13 Mn |
| Dec 31, 2025 | 14.40 Mn |
| Sep 30, 2025 | 14.07 Mn |
| Jun 30, 2025 | 13.83 Mn |
| Mar 31, 2025 | 13.58 Mn |
| Dec 31, 2024 | 13.66 Mn |
| Sep 30, 2024 | 13.44 Mn |
| Jun 30, 2024 | 13.16 Mn |
| Mar 31, 2024 | 13.40 Mn |
| Dec 31, 2023 | 13.23 Mn |
| Sep 30, 2023 | 13.43 Mn |
| Jun 30, 2023 | 12.71 Mn |
| Mar 31, 2023 | 12.21 Mn |
| Dec 31, 2022 | 12.45 Mn |
| Sep 30, 2022 | 12.41 Mn |
| Jun 30, 2022 | 12.23 Mn |
| Mar 31, 2022 | 11.68 Mn |
| Dec 31, 2021 | 11.95 Mn |
| Sep 30, 2021 | 11.97 Mn |
API Access
Hancock Whitney Rent Expense 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=rent-expense&ticker=HWC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();