Aifu (AIFU) EV to EBITDA (2010 - 2019)
Aifu's EV to EBITDA came in at 439.22 for FY2023, up 53.6% from 285.94 in FY2022.
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Analysis
Aifu (AIFU) EV to EBITDA (2010 - 2019) Analysis & Trends
Going back to FY2009, Aifu's EV to EBITDA data covers 14 years.
- The FY2023 figure represents the highest annual EV to EBITDA since FY2017.
- Per Business Quant, earlier years put EV to EBITDA at 285.94 in FY2022 (+88.6%), 151.61 in FY2021 (-41.7%), 259.84 in FY2020 (-35.4%) and 402.54 in FY2019 (-4.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - |
| 10 | Aifu | 57.73 Mn | -246.98 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 624.85 |
| Mar 31, 2019 | 494.18 |
| Jun 30, 2018 | 590.34 |
| Mar 31, 2018 | 647.51 |
| Dec 31, 2017 | 567.99 |
| Sep 30, 2017 | 320.72 |
| Jun 30, 2017 | 289.08 |
| Mar 31, 2017 | 478.17 |
| Dec 31, 2016 | 1,348.92 |
| Sep 30, 2016 | 1,379.90 |
| Jun 30, 2016 | 1,006.89 |
| Mar 31, 2016 | 674.31 |
| Dec 31, 2015 | 597.11 |
| Sep 30, 2015 | 666.99 |
| Jun 30, 2015 | 965.59 |
| Mar 31, 2015 | 943.02 |
| Dec 31, 2014 | 583.90 |
| Sep 30, 2014 | 335.39 |
| Jun 30, 2014 | 426.97 |
| Mar 31, 2014 | 581.81 |
API Access
Aifu EV to EBITDA 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=ev-to-ebitda&ticker=AIFU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=AIFU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();