China Yuchai International (CYD) Price to Book (2009 - 2025)
China Yuchai International's Price to Book was 0.99 in Q4 2025, up 372.2% from 0.21 a year earlier.
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Analysis
China Yuchai International (CYD) Price to Book (2009 - 2025) Analysis & Trends
For FY2025, Price to Book at China Yuchai International came in at 0.72, up 242.9% from FY2024.
- Price to Book has now increased for three consecutive years.
- In earlier years, Price to Book was 0.21 in FY2024 (+4.4%), 0.20 in FY2023 (+17.6%), 0.17 in FY2022 (-48.8%) and 0.33 in FY2021 (-9.1%).
- The Q4 2025 figure marks the highest quarterly Price to Book since Q1 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn |
| 10 | China Yuchai International | 960.84 Mn | -2.40 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.72 |
| Dec 31, 2024 | 0.21 |
| Dec 31, 2023 | 0.20 |
| Dec 31, 2022 | 0.17 |
| Dec 31, 2021 | 0.33 |
| Dec 31, 2020 | 0.37 |
| Jun 30, 2020 | 0.47 |
| Mar 31, 2020 | 0.35 |
| Dec 31, 2019 | 0.33 |
| Sep 30, 2019 | 0.43 |
| Jun 30, 2019 | 0.49 |
| Mar 31, 2019 | 0.51 |
| Dec 31, 2018 | 0.31 |
| Sep 30, 2018 | 0.59 |
| Jun 30, 2018 | 0.73 |
| Mar 31, 2018 | 0.64 |
| Dec 31, 2017 | 0.58 |
| Sep 30, 2017 | 0.76 |
| Jun 30, 2017 | 0.64 |
| Mar 31, 2017 | 0.66 |
API Access
China Yuchai International 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=CYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "CYD", "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=CYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();