Aifu (AIFU) Price to Sales (2009 - 2023)
Aifu's Price to Sales came in at 3.59 for FY2025, down 62.1% from 9.46 in FY2024.
Analysis
Aifu (AIFU) Price to Sales (2009 - 2023) Analysis & Trends
Going back to FY2009, Aifu's Price to Sales data covers 17 years.
- The FY2025 figure represents the lowest annual Price to Sales in data going back to FY2009.
- Per Business Quant, earlier years put Price to Sales at 9.46 in FY2024 (-69.9%), 31.47 in FY2023 (+59.9%), 19.69 in FY2022 (+29.2%) and 15.24 in FY2021 (-41.0%).
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 | 31.60 |
| Sep 30, 2023 | 16.29 |
| Jun 30, 2023 | 18.74 |
| Mar 31, 2023 | 21.93 |
| Dec 31, 2022 | 19.25 |
| Sep 30, 2022 | 12.63 |
| Jun 30, 2022 | 12.47 |
| Mar 31, 2022 | 17.49 |
| Dec 31, 2021 | 15.46 |
| Sep 30, 2021 | 25.32 |
| Jun 30, 2021 | 30.94 |
| Mar 31, 2021 | 27.60 |
| Dec 31, 2020 | 27.11 |
| Sep 30, 2020 | 37.21 |
| Jun 30, 2020 | 44.85 |
| Mar 31, 2020 | 44.54 |
| Dec 31, 2019 | 52.91 |
| Sep 30, 2019 | 65.51 |
| Jun 30, 2019 | 82.51 |
| Mar 31, 2019 | 62.78 |
API Access
Aifu Price to Sales 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-sales&ticker=AIFU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=AIFU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();