Aifu (AIFU) EBT (2009 - 2023)
Aifu's EBT came in at -$325.07 million for FY2025, compared with $109.42 million in FY2024.
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Analysis
Aifu (AIFU) EBT (2009 - 2023) Analysis & Trends
Going back to FY2009, Aifu's EBT data covers 17 years.
- The FY2025 figure represents the lowest annual EBT in data going back to FY2009.
- Per Business Quant, earlier years put EBT at $109.42 million in FY2024 (+122.1%), $49.27 million in FY2023 (+73.1%), $28.47 million in FY2022 (-51.1%) and $58.23 million in FY2021 (+10.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | 27.15 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 3.40 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 3.24 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 1.03 Bn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 2.37 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 1.25 Bn |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 515.00 Mn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 612.00 Mn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 2.62 Bn |
| 10 | Aifu | 13.08 Mn | -183.36 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 5.66 Mn |
| Sep 30, 2023 | 3.42 Mn |
| Jun 30, 2023 | 12.76 Mn |
| Mar 31, 2023 | 9.85 Mn |
| Dec 31, 2022 | 10.84 Mn |
| Sep 30, 2022 | 5.36 Mn |
| Jun 30, 2022 | 4.81 Mn |
| Mar 31, 2022 | 3.36 Mn |
| Dec 31, 2021 | 13.15 Mn |
| Sep 30, 2021 | 4.44 Mn |
| Jun 30, 2021 | 7.98 Mn |
| Mar 31, 2021 | 21.51 Mn |
| Dec 31, 2020 | 11.36 Mn |
| Sep 30, 2020 | 11.06 Mn |
| Jun 30, 2020 | 14.39 Mn |
| Mar 31, 2020 | 8.89 Mn |
| Dec 31, 2019 | 16.43 Mn |
| Sep 30, 2019 | 21.28 Mn |
| Jun 30, 2019 | 17.22 Mn |
| Mar 31, 2019 | 18.90 Mn |
API Access
Aifu EBT 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=ebt&ticker=AIFU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "ticker": "AIFU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebt&ticker=AIFU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();