China Yuchai International (CYD) Price to Earnings (2009 - 2020)
China Yuchai International's Price to Earnings came in at 7.78 for FY2024.
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Analysis
China Yuchai International (CYD) Price to Earnings (2009 - 2020) Analysis & Trends
Going back to FY2009, China Yuchai International's Price to Earnings data covers 15 years.
- The FY2024 figure represents the lowest annual Price to Earnings since FY2019.
- Per Business Quant, earlier years put Price to Earnings at 16.65 in FY2023, 9.37 in FY2022 and 8.39 in FY2020 (+34.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 316.16 Bn | 287.86 Bn | 7.76 Bn |
| 2 | Amphenol | 182.64 Bn | 177.22 Bn | 3.55 Bn |
| 3 | Deere | 173.48 Bn | 141.57 Bn | 4.66 Bn |
| 4 | Eaton | 143.07 Bn | 140.25 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 110.77 Bn | 108.89 Bn | 2.25 Bn |
| 6 | Emerson Electric | 90.05 Bn | 82.79 Bn | 2.66 Bn |
| 7 | 3M | 89.94 Bn | 71.38 Bn | 2.78 Bn |
| 8 | Illinois Tool Works | 78.94 Bn | 75.50 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 75.27 Bn | 65.89 Bn | 1.23 Bn |
| 10 | China Yuchai International | 874.55 Mn | -2.48 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 7.30 |
| Mar 31, 2020 | 6.51 |
| Dec 31, 2019 | 6.18 |
| Sep 30, 2019 | 6.18 |
| Jun 30, 2019 | 6.30 |
| Mar 31, 2019 | 6.71 |
| Dec 31, 2018 | 4.83 |
| Sep 30, 2018 | 5.49 |
| Jun 30, 2018 | 6.65 |
| Mar 31, 2018 | 6.55 |
| Dec 31, 2017 | 7.54 |
| Sep 30, 2017 | 8.06 |
| Jun 30, 2017 | 7.40 |
| Mar 31, 2017 | 7.56 |
| Dec 31, 2016 | 7.27 |
| Sep 30, 2016 | 8.10 |
| Jun 30, 2016 | 10.32 |
| Mar 31, 2016 | 7.64 |
| Dec 31, 2015 | 7.84 |
| Sep 30, 2015 | 5.65 |
API Access
China Yuchai International 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=CYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=CYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();