Aifu (AIFU) EBIT (2009 - 2023)
Aifu's EBIT came in at -$5.43 million for FY2025, compared with -$59.71 million in FY2024.
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Analysis
Aifu (AIFU) EBIT (2009 - 2023) Analysis & Trends
Going back to FY2009, Aifu's EBIT data covers 17 years.
- The five-year range for annual EBIT is -$59.71 million (FY2024) to $47.38 million (FY2021).
- Per Business Quant, earlier years put EBIT at -$59.71 million in FY2024, $27.58 million in FY2023 (+12.8%), $24.46 million in FY2022 (-48.4%) and $47.38 million in FY2021 (+2.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | -30.21 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | -3.07 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | -10.36 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 1.90 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | -3.16 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 1.72 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | -10.30 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 915.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 582.00 Mn |
| 10 | Aifu | 53.89 Mn | -250.82 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 2.29 Mn |
| Sep 30, 2023 | 4.59 Mn |
| Jun 30, 2023 | 12.28 Mn |
| Mar 31, 2023 | 8.82 Mn |
| Dec 31, 2022 | 12.31 Mn |
| Sep 30, 2022 | 4.52 Mn |
| Jun 30, 2022 | 4.63 Mn |
| Mar 31, 2022 | 3.25 Mn |
| Dec 31, 2021 | 12.92 Mn |
| Sep 30, 2021 | 4.35 Mn |
| Jun 30, 2021 | 7.90 Mn |
| Mar 31, 2021 | 21.43 Mn |
| Dec 31, 2020 | 11.02 Mn |
| Sep 30, 2020 | 10.80 Mn |
| Jun 30, 2020 | 13.68 Mn |
| Mar 31, 2020 | 8.48 Mn |
| Dec 31, 2019 | 16.40 Mn |
| Sep 30, 2019 | 21.19 Mn |
| Jun 30, 2019 | 11.27 Mn |
| Mar 31, 2019 | 18.72 Mn |
API Access
Aifu EBIT 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=ebit&ticker=AIFU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=AIFU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();