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 | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 32.06 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 3.62 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 4.21 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 1.70 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 2.77 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 2.00 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 1.04 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 724.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 414.00 Mn |
| 10 | Aifu | 53.89 Mn | -250.82 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -1.34 Mn |
| Sep 30, 2023 | 24.27 Mn |
| Jun 30, 2023 | 14.25 Mn |
| Mar 31, 2023 | 11.49 Mn |
| Dec 31, 2022 | 12.30 Mn |
| Sep 30, 2022 | 5.96 Mn |
| Jun 30, 2022 | 5.05 Mn |
| Mar 31, 2022 | 5.57 Mn |
| Dec 31, 2021 | 15.77 Mn |
| Sep 30, 2021 | 6.77 Mn |
| Jun 30, 2021 | 11.52 Mn |
| Mar 31, 2021 | 23.30 Mn |
| Dec 31, 2020 | 9.82 Mn |
| Sep 30, 2020 | 13.67 Mn |
| Jun 30, 2020 | 18.49 Mn |
| Mar 31, 2020 | 10.43 Mn |
| Dec 31, 2019 | 40.10 Mn |
| Sep 30, 2019 | 23.94 Mn |
| Jun 30, 2019 | 15.47 Mn |
| Mar 31, 2019 | 24.60 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();