Aifu (AIFU) Goodwill (2009 - 2023)
Aifu's Goodwill was $51.96 million in Q4 2023, up 236.0% from $15.47 million a year earlier.
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Analysis
Aifu (AIFU) Goodwill (2009 - 2023) Analysis & Trends
At the end of FY2023, Goodwill at Aifu came in at $52.7 million, up 230.4% from FY2022.
- Goodwill shows a five-year compound annual growth rate of 27.0% (FY2018 to FY2023).
- In earlier years, Goodwill was $15.95 million in FY2022 (-7.5%), $17.24 million in FY2021 (+2.4%), $16.84 million in FY2020 (+6.7%) and $15.78 million in FY2019 (-1.2%).
- The Q4 2023 figure marks the highest quarterly Goodwill since Q3 2011.
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 |
|---|---|
| Dec 31, 2023 | 51.96 Mn |
| Dec 31, 2022 | 15.47 Mn |
| Dec 31, 2021 | 17.18 Mn |
| Dec 31, 2020 | 16.58 Mn |
| Dec 31, 2019 | 15.59 Mn |
| Dec 31, 2018 | 15.89 Mn |
| Dec 31, 2017 | 16.61 Mn |
| Dec 31, 2016 | 17.89 Mn |
| Dec 31, 2015 | 20.92 Mn |
| Dec 31, 2014 | 21.75 Mn |
| Dec 31, 2013 | 12.92 Mn |
| Dec 31, 2012 | 12.57 Mn |
| Sep 30, 2012 | 12.50 Mn |
| Jun 30, 2012 | 12.37 Mn |
| Mar 31, 2012 | 12.47 Mn |
| Dec 31, 2011 | 12.36 Mn |
| Sep 30, 2011 | 167.20 Mn |
| Jun 30, 2011 | 160.59 Mn |
| Mar 31, 2011 | 158.51 Mn |
| Dec 31, 2010 | 173.63 Mn |
API Access
Aifu Goodwill 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=goodwill&ticker=AIFU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=AIFU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();