Aifu (AIFU) Price to Book (2009 - 2026)
Aifu's Price to Book came in at 1.58 for Q2 2026, down 29.3% from 2.23 a year earlier.
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Analysis
Aifu (AIFU) Price to Book (2009 - 2026) Analysis & Trends
For FY2025, Aifu's Price to Book was 4.18, down 35.8% from FY2024.
- Going back by year, Price to Book was 6.51 in FY2024 (-84.9%), 43.07 in FY2023 (+36.2%), 31.63 in FY2022 (+24.4%) and 25.42 in FY2021 (-41.1%).
- The Q2 2026 figure represents the lowest quarterly Price to Book in data going back to Q1 2009.
- The fastest year-over-year change in Price to Book over five years came in Q4 2023 (growth of 33.9%), and the weakest in Q4 2024 (a decline of 85.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,079.16 Bn | -338.32 Bn | 55.86 Bn |
| 2 | Chubb | 127.75 Bn | 79.80 Bn | 9.13 Bn |
| 3 | Progressive | 122.68 Bn | 98.52 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 82.15 Bn | 73.89 Bn | - |
| 5 | Travelers Companies | 75.41 Bn | 51.66 Bn | 6.23 Bn |
| 6 | Manulife Financial | 72.51 Bn | 73.72 Bn | - |
| 7 | Metlife | 60.18 Bn | -46.30 Bn | 7.82 Bn |
| 8 | Arthur J. Gallagher | 59.45 Bn | 53.89 Bn | - |
| 9 | Aon | 58.55 Bn | 51.79 Bn | - |
| 10 | Aifu | 58.21 Mn | -246.51 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.58 |
| Dec 31, 2025 | 4.23 |
| Dec 31, 2024 | 6.40 |
| Jun 30, 2024 | 13.27 |
| Jun 28, 2024 | 13.33 |
| Dec 31, 2023 | 43.67 |
| Sep 30, 2023 | 23.43 |
| Jun 30, 2023 | 28.77 |
| Mar 31, 2023 | 29.48 |
| Dec 31, 2022 | 32.61 |
| Sep 30, 2022 | 22.92 |
| Jun 30, 2022 | 22.76 |
| Mar 31, 2022 | 26.62 |
| Dec 31, 2021 | 25.51 |
| Sep 30, 2021 | 41.85 |
| Mar 31, 2021 | 49.27 |
| Dec 31, 2020 | 43.84 |
| Sep 30, 2020 | 62.45 |
| Jun 30, 2020 | 77.51 |
| Mar 31, 2020 | 78.90 |
API Access
Aifu Price to Book 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-book&ticker=AIFU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=AIFU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();