Axos Financial (AX) Provision for Losses (2010 - 2026)
Axos Financial (AX) posted Provision for Losses of $24.5 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 42.0% from $17.26 million a year earlier and up 37.3% from the prior quarter.
Axos Financial (AX) Provision for Losses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Provision for Losses at Axos Financial was $108.35 million, up 83.6% year-over-year; for FY2026 (ended Jun 30, 2026), it was $101.11 million, up 81.4% from FY2025.
- Annual Provision for Losses has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 33.6% (FY2021 to FY2026).
- In prior fiscal years, Axos Financial's Provision for Losses was $55.75 million in FY2025 (+71.5%), $32.5 million in FY2024 (+34.0%), $24.25 million in FY2023 (+2.1%) and $23.75 million in FY2022 (unchanged).
- Quarterly Provision for Losses has run from a low of $3 million in fiscal Q2 2023 to a high of $41 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, Provision for Losses has increased in each of the last seven quarters, with growth averaging 81.7% over the last eight quarters.
- The strongest year-over-year quarter for Provision for Losses in the past five years was fiscal Q4 2022, with growth of 800.0%; the weakest was fiscal Q2 2022, with a decline of 50.0%.
- According to Business Quant data, Provision for Losses for the three prior fiscal quarters was $17.85 million (Q4 2026), $41 million (Q3 2026) and $25 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 2.74 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 1.30 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 717.20 Mn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | - |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 368.00 Mn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 985.00 Mn |
| 10 | Axos Financial | 5.27 Bn | -613.35 Mn | - | 24.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 24.50 Mn |
| Jun 30, 2026 | 17.85 Mn |
| Mar 31, 2026 | 41.00 Mn |
| Dec 31, 2025 | 25.00 Mn |
| Sep 30, 2025 | 17.26 Mn |
| Jun 30, 2025 | 15.00 Mn |
| Mar 31, 2025 | 14.50 Mn |
| Dec 31, 2024 | 12.25 Mn |
| Sep 30, 2024 | 14.00 Mn |
| Jun 30, 2024 | 6.00 Mn |
| Mar 31, 2024 | 6.00 Mn |
| Dec 31, 2023 | 13.50 Mn |
| Sep 30, 2023 | 7.00 Mn |
| Jun 30, 2023 | 7.00 Mn |
| Mar 31, 2023 | 5.50 Mn |
| Dec 31, 2022 | 3.00 Mn |
| Sep 30, 2022 | 8.75 Mn |
| Jun 30, 2022 | 11.25 Mn |
| Mar 31, 2022 | 4.50 Mn |
| Dec 31, 2021 | 4.00 Mn |
Axos Financial Provision for Losses 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=provision-for-losses&ticker=AX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=AX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();