Cps Technologies (CPSH) Price to Earnings (2011 - 2026)
Cps Technologies' (CPSH) Price to Earnings was 2145.60 for Q1 2026.
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Analysis
Cps Technologies (CPSH) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Cps Technologies was 137.37.
- By year, Price to Earnings came in at 24.90 in FY2023 (+36.5%), 18.24 in FY2022 (-5.8%) and 19.37 in FY2021 (-42.3%).
- The Q1 2026 figure ranks as the highest quarterly Price to Earnings in data going back to Q1 2011.
- The high point for year-over-year Price to Earnings in five years was Q3 2023 (growth of 188.8%); the low point was Q1 2022 (a decline of 95.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn |
| 10 | Cps Technologies | 74.45 Mn | 25.25 Mn | 1.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 2,145.60 |
| Dec 27, 2025 | 137.37 |
| Mar 30, 2024 | 34.98 |
| Dec 30, 2023 | 24.90 |
| Sep 30, 2023 | 26.91 |
| Jul 1, 2023 | 17.54 |
| Apr 1, 2023 | 19.30 |
| Dec 31, 2022 | 20.52 |
| Oct 1, 2022 | 9.32 |
| Apr 2, 2022 | 20.73 |
| Dec 25, 2021 | 19.37 |
| Sep 25, 2021 | 27.05 |
| Jun 26, 2021 | 415.69 |
| Mar 27, 2021 | 490.38 |
| Dec 26, 2020 | 33.58 |
| Sep 26, 2020 | 14.97 |
| Jun 27, 2020 | 27.94 |
| Mar 28, 2020 | 18.48 |
| Oct 1, 2016 | 364.37 |
| Jul 2, 2016 | 104.90 |
API Access
Cps Technologies 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=CPSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "CPSH", "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=CPSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();