Cps Technologies (CPSH) EV to FCF (2015 - 2026)
Cps Technologies' (CPSH) EV to FCF stood at 574.87 in Q1 2026.
Analysis
Cps Technologies (CPSH) EV to FCF (2015 - 2026) Analysis & Trends
On a TTM basis, Cps Technologies' EV to FCF came in at 344.68 as of Mar 28, 2026; for FY2023, it was 46.08, up 368.5% from FY2022.
- Across earlier years, EV to FCF came in at 9.84 in FY2022 (-74.3%), 38.34 in FY2021 (+70.2%) and 22.53 in FY2020.
- The Q1 2026 figure is the highest quarterly EV to FCF since Q3 2015.
- Peak year-over-year performance for EV to FCF in the last five years was growth of 496.4% in Q4 2023, against a decline of 79.8% in Q4 2022 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Cps Technologies | 72.51 Mn | 23.31 Mn | 1.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 574.87 |
| Mar 30, 2024 | 13.88 |
| Dec 30, 2023 | 46.08 |
| Sep 30, 2023 | 10.08 |
| Jul 1, 2023 | 8.89 |
| Apr 1, 2023 | 18.57 |
| Dec 31, 2022 | 7.73 |
| Oct 1, 2022 | 18.67 |
| Apr 2, 2022 | 56.26 |
| Dec 25, 2021 | 38.34 |
| Sep 25, 2021 | 59.40 |
| Jun 26, 2021 | 133.33 |
| Mar 27, 2021 | 104.16 |
| Dec 26, 2020 | 19.20 |
| Jun 27, 2020 | 74.52 |
| Sep 28, 2019 | 11.30 |
| Jun 29, 2019 | 160.41 |
| Mar 30, 2019 | 95.18 |
| Dec 31, 2016 | 35.69 |
| Oct 1, 2016 | 16.03 |
API Access
Cps Technologies EV to FCF 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=ev-to-fcf&ticker=CPSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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=ev-to-fcf&ticker=CPSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();