Aifu (AIFU) Price to Earnings (2009 - 2023)
Aifu's (AIFU) Price to Earnings was 54.45 for FY2024, down 84.6% from 352.99 in FY2023.
Analysis
Aifu (AIFU) Price to Earnings (2009 - 2023) Analysis & Trends
Dating back to FY2009, Aifu's Price to Earnings record includes 15 years.
- The FY2024 figure ranks as the lowest annual Price to Earnings in data going back to FY2009.
- According to Business Quant data, Price to Earnings came in at 352.99 in FY2023 (-43.2%), 621.82 in FY2022 (+208.0%), 201.90 in FY2021 (-39.3%) and 332.43 in FY2020 (-67.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - |
| 10 | Aifu | 54.47 Mn | -250.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 356.67 |
| Sep 30, 2023 | 148.51 |
| Jun 30, 2023 | 256.83 |
| Mar 31, 2023 | 342.91 |
| Dec 31, 2022 | 1,319.54 |
| Mar 31, 2022 | 1,521.37 |
| Dec 31, 2021 | 202.64 |
| Sep 30, 2021 | 293.23 |
| Jun 30, 2021 | 325.15 |
| Mar 31, 2021 | 279.67 |
| Dec 31, 2020 | 335.81 |
| Jun 30, 2020 | 1,733.43 |
| Mar 31, 2020 | 1,713.07 |
| Dec 31, 2019 | 990.69 |
| Sep 30, 2019 | 442.64 |
| Jun 30, 2019 | 526.03 |
| Mar 31, 2019 | 360.67 |
| Dec 31, 2018 | 305.38 |
| Sep 30, 2018 | 371.15 |
| Jun 30, 2018 | 445.91 |
API Access
Aifu Price to Earnings 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=price-to-earnings&ticker=AIFU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=AIFU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();