Axos Financial (AX) Other Operating Expenses (2010 - 2026)
Axos Financial (AX) posted Other Operating Expenses of $24.89 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 22.3% from $20.36 million a year earlier and up 7.7% from the prior quarter.
Axos Financial (AX) Other Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Axos Financial's Other Operating Expenses came in at $91.89 million, up 14.2% from FY2025.
- Annual Other Operating Expenses has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 17.7% (FY2021 to FY2026).
- In prior fiscal years, Axos Financial's Other Operating Expenses was $80.43 million in FY2025 (+15.9%), $69.37 million in FY2024 (+14.6%), $60.56 million in FY2023 (+20.7%) and $50.16 million in FY2022 (+23.2%).
- The fiscal Q4 2026 figure stands as the highest quarterly Other Operating Expenses in data going back to fiscal Q1 2011.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last 11 quarters, with growth averaging 15.3% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was fiscal Q1 2023, with growth of 97.7%; the weakest was fiscal Q1 2024, with a decline of 32.7%.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $23.11 million (Q3 2026), $21.83 million (Q2 2026) and $22.06 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Axos Financial | 4.91 Bn | -1.97 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.89 Mn |
| Mar 31, 2026 | 23.11 Mn |
| Dec 31, 2025 | 21.83 Mn |
| Sep 30, 2025 | 22.06 Mn |
| Jun 30, 2025 | 20.36 Mn |
| Mar 31, 2025 | 21.78 Mn |
| Dec 31, 2024 | 19.31 Mn |
| Sep 30, 2024 | 18.99 Mn |
| Jun 30, 2024 | 16.72 Mn |
| Mar 31, 2024 | 18.24 Mn |
| Dec 31, 2023 | 18.33 Mn |
| Sep 30, 2023 | 16.08 Mn |
| Jun 30, 2023 | 16.10 Mn |
| Mar 31, 2023 | 15.81 Mn |
| Dec 31, 2022 | 14.63 Mn |
| Sep 30, 2022 | 23.90 Mn |
| Jun 30, 2022 | 13.59 Mn |
| Mar 31, 2022 | 12.27 Mn |
| Dec 31, 2021 | 12.20 Mn |
| Sep 30, 2021 | 12.09 Mn |
Axos Financial Other Operating 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-operating-expenses&ticker=AX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=AX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();