Axos Financial (AX) Occupancy Expense (2010 - 2026)
Axos Financial (AX) posted Occupancy Expense of $7.03 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 52.1% from $4.62 million a year earlier and up 3.2% from the prior quarter.
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Analysis
Axos Financial (AX) Occupancy Expense (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Occupancy Expense at Axos Financial was $24.8 million, up 37.7% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $22.39 million, up 26.5% from FY2025.
- Annual Occupancy Expense has increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 10.8% (FY2021 to FY2026).
- In prior fiscal years, Axos Financial's Occupancy Expense was $17.71 million in FY2025 (+6.0%), $16.7 million in FY2024 (+6.8%), $15.65 million in FY2023 (+13.8%) and $13.75 million in FY2022 (+2.6%).
- The fiscal Q1 2027 figure stands as the highest quarterly Occupancy Expense in data going back to fiscal Q1 2011.
- On a year-over-year basis, Occupancy Expense has increased in each of the last five quarters, with growth averaging 21.2% over the last eight quarters.
- The strongest year-over-year quarter for Occupancy Expense in the past five years was fiscal Q1 2027, with growth of 52.1%; the weakest was fiscal Q4 2022, with a decline of 16.4%.
- According to Business Quant data, Occupancy Expense for the three prior fiscal quarters was $6.81 million (Q4 2026), $5.77 million (Q3 2026) and $5.19 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - |
| 10 | Axos Financial | 5.27 Bn | -613.35 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.03 Mn |
| Jun 30, 2026 | 6.81 Mn |
| Mar 31, 2026 | 5.77 Mn |
| Dec 31, 2025 | 5.19 Mn |
| Sep 30, 2025 | 4.62 Mn |
| Jun 30, 2025 | 4.54 Mn |
| Mar 31, 2025 | 4.65 Mn |
| Dec 31, 2024 | 4.21 Mn |
| Sep 30, 2024 | 4.32 Mn |
| Jun 30, 2024 | 4.60 Mn |
| Mar 31, 2024 | 4.25 Mn |
| Dec 31, 2023 | 4.00 Mn |
| Sep 30, 2023 | 3.85 Mn |
| Jun 30, 2023 | 4.04 Mn |
| Mar 31, 2023 | 3.87 Mn |
| Dec 31, 2022 | 3.68 Mn |
| Sep 30, 2022 | 4.05 Mn |
| Jun 30, 2022 | 3.48 Mn |
| Mar 31, 2022 | 3.74 Mn |
| Dec 31, 2021 | 3.34 Mn |
API Access
Axos Financial Occupancy 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=occupancy-expense&ticker=AX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "AX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=occupancy-expense&ticker=AX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();