Axos Financial (AX) Professional Fees (2010 - 2026)
Axos Financial's Professional Fees was $8.54 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), down 36.0% from $13.33 million a year earlier and down 8.4% from the prior quarter.
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Analysis
Axos Financial (AX) Professional Fees (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Axos Financial's Professional Fees was $38.01 million through Sep 30, 2026, down 7.3% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $42.81 million, up 13.9% from FY2025.
- Professional Fees has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 14.0% (FY2021 to FY2026).
- In earlier fiscal years, Professional Fees was $37.57 million in FY2025 (+2.8%), $36.53 million in FY2024 (+24.8%), $29.27 million in FY2023 (+30.2%) and $22.48 million in FY2022 (+1.1%).
- The fiscal Q1 2027 figure marks the lowest quarterly Professional Fees since fiscal Q3 2025.
- Compared with a year earlier, Professional Fees was higher in four of the last eight quarters, with growth averaging 6.8%.
- The best year-over-year quarter for Professional Fees over five years was fiscal Q4 2024 (growth of 95.2%); the worst was fiscal Q1 2027 (a decline of 36.0%).
- Per Business Quant data, AX's Professional Fees in the three fiscal quarters before Q1 2027 was $9.32 million (Q4 2026), $10.86 million (Q3 2026) and $9.29 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 3.90 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 606.00 Mn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 411.67 Mn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 700.00 Mn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 424.00 Mn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 1.17 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 | - | 8.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.54 Mn |
| Jun 30, 2026 | 9.32 Mn |
| Mar 31, 2026 | 10.86 Mn |
| Dec 31, 2025 | 9.29 Mn |
| Sep 30, 2025 | 13.33 Mn |
| Jun 30, 2025 | 10.36 Mn |
| Mar 31, 2025 | 8.24 Mn |
| Dec 31, 2024 | 9.07 Mn |
| Sep 30, 2024 | 9.90 Mn |
| Jun 30, 2024 | 11.67 Mn |
| Mar 31, 2024 | 9.07 Mn |
| Dec 31, 2023 | 5.98 Mn |
| Sep 30, 2023 | 9.81 Mn |
| Jun 30, 2023 | 5.98 Mn |
| Mar 31, 2023 | 6.75 Mn |
| Dec 31, 2022 | 8.46 Mn |
| Sep 30, 2022 | 8.09 Mn |
| Jun 30, 2022 | 7.65 Mn |
| Mar 31, 2022 | 4.35 Mn |
| Dec 31, 2021 | 5.94 Mn |
API Access
Axos Financial Professional Fees 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=professional-fees&ticker=AX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=AX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();