Ampco Pittsburgh (AP) Price to Earnings (2011 - 2025)
Ampco Pittsburgh's Price to Earnings came in at 10.09 for Q1 2025, down 89.4% from the prior quarter.
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Analysis
Ampco Pittsburgh (AP) Price to Earnings (2011 - 2025) Analysis & Trends
For FY2024, Ampco Pittsburgh's Price to Earnings was 95.34.
- Going back by year, Price to Earnings was 14.26 in FY2022 and 9.81 in FY2020.
- The Q1 2025 figure represents the lowest quarterly Price to Earnings since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn |
| 10 | Ampco Pittsburgh | 185.32 Mn | 160.56 Mn | 22.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 10.09 |
| Dec 31, 2024 | 95.34 |
| Sep 30, 2023 | 35.91 |
| Jun 30, 2023 | 35.67 |
| Mar 31, 2023 | 11.47 |
| Dec 31, 2022 | 14.26 |
| Sep 30, 2022 | 189.40 |
| Sep 30, 2021 | 48.96 |
| Jun 30, 2021 | 26.38 |
| Mar 31, 2021 | 31.86 |
| Dec 31, 2020 | 9.81 |
| Sep 30, 2020 | 4.96 |
| Jun 30, 2020 | 13.88 |
| Dec 31, 2015 | 78.01 |
| Jun 30, 2014 | 19.25 |
| Mar 31, 2014 | 15.80 |
| Dec 31, 2013 | 16.22 |
| Sep 30, 2013 | 10.76 |
| Jun 30, 2013 | 32.00 |
| Mar 31, 2013 | 30.19 |
API Access
Ampco Pittsburgh 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=AP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "AP", "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=AP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();