Wafd (WAFD) Rent Expense (2009 - 2026)
Wafd (WAFD) posted Rent Expense of $11.84 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.7% from $11.76 million a year earlier and up 1.1% from the prior quarter.
Wafd (WAFD) Rent Expense (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Rent Expense at Wafd was $45.62 million, up 1.6% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $44.94 million, up 6.9% from FY2024.
- Annual Rent Expense shows a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- In prior fiscal years, Wafd's Rent Expense was $42.04 million in FY2024 (+1.1%), $41.58 million in FY2023 (-2.2%), $42.5 million in FY2022 (+7.3%) and $39.61 million in FY2021 (+0.1%).
- The fiscal Q3 2026 figure stands as the highest quarterly Rent Expense in data going back to fiscal Q3 2009.
- On a year-over-year basis, Rent Expense has increased in each of the last nine quarters, with growth averaging 5.3% over the last eight quarters.
- The strongest year-over-year quarter for Rent Expense in the past five years was fiscal Q1 2025, with growth of 15.1%; the weakest was fiscal Q2 2023, with a decline of 7.4%.
- According to Business Quant data, Rent Expense for the three prior fiscal quarters was $11.71 million (Q2 2026), $11.17 million (Q1 2026) and $10.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 803.00 Mn |
| 10 | Wafd | 2.24 Bn | -498.42 Mn | - | 11.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.84 Mn |
| Mar 31, 2026 | 11.71 Mn |
| Dec 31, 2025 | 11.17 Mn |
| Sep 30, 2025 | 10.90 Mn |
| Jun 30, 2025 | 11.76 Mn |
| Mar 31, 2025 | 11.50 Mn |
| Dec 31, 2024 | 10.79 Mn |
| Sep 30, 2024 | 10.84 Mn |
| Jun 30, 2024 | 10.90 Mn |
| Mar 31, 2024 | 10.92 Mn |
| Dec 31, 2023 | 9.37 Mn |
| Sep 30, 2023 | 10.12 Mn |
| Jun 30, 2023 | 10.44 Mn |
| Mar 31, 2023 | 10.92 Mn |
| Dec 31, 2022 | 10.10 Mn |
| Sep 30, 2022 | 10.57 Mn |
| Jun 30, 2022 | 10.05 Mn |
| Mar 31, 2022 | 11.79 Mn |
| Dec 31, 2021 | 10.09 Mn |
| Sep 30, 2021 | 9.82 Mn |
Wafd 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=WAFD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "ticker": "WAFD", "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=WAFD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();