Aifu (AIFU) Total Expenses (2009 - 2023)
Analysis
Aifu (AIFU) Total Expenses (2009 - 2023) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn |
| 10 | Aifu | 13.08 Mn | -183.36 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 43.69 Mn |
| Sep 30, 2023 | 45.14 Mn |
| Jun 30, 2023 | 102.30 Mn |
| Mar 31, 2023 | 70.97 Mn |
| Dec 31, 2022 | 60.28 Mn |
| Sep 30, 2022 | 45.57 Mn |
| Jun 30, 2022 | 58.41 Mn |
| Mar 31, 2022 | 60.49 Mn |
| Dec 31, 2021 | 67.59 Mn |
| Sep 30, 2021 | 57.03 Mn |
| Jun 30, 2021 | 56.32 Mn |
| Mar 31, 2021 | 102.88 Mn |
| Dec 31, 2020 | 76.88 Mn |
| Sep 30, 2020 | 68.27 Mn |
| Jun 30, 2020 | 75.57 Mn |
| Mar 31, 2020 | 62.72 Mn |
| Dec 31, 2019 | 89.70 Mn |
| Sep 30, 2019 | 65.99 Mn |
| Jun 30, 2019 | 19.60 Mn |
| Mar 31, 2019 | 125.94 Mn |
API Access
Aifu Total Expenses 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=total-expenses&ticker=AIFU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-expenses", "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=total-expenses&ticker=AIFU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();