Cps Technologies (CPSH) Shares Outstanding (Diluted) (2010 - 2026)
Cps Technologies (CPSH) reported Shares Outstanding (Diluted) of 18.85 million for Q2 2026, up 29.3% from 14.58 million a year earlier and up 4.8% from the prior quarter.
Cps Technologies (CPSH) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Cps Technologies posted Shares Outstanding (Diluted) of 15.39 million, up 6.0% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 14.52 million in FY2024 (-0.7%), 14.63 million in FY2023 (-0.3%), 14.68 million in FY2022 (+0.6%) and 14.59 million in FY2021 (+9.3%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2010.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last six quarters, with growth averaging 7.4% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q2 2026 (growth of 29.3%); the low point was Q3 2022 (a decline of 0.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 18 million (Q1 2026), 15.39 million (Q4 2025) and 14.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 462.50 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 389.50 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 128.10 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 392.75 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 561.10 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 522.40 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 287.00 Mn |
| 10 | Cps Technologies | 72.51 Mn | 23.31 Mn | 1.23 Mn | 18.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 18.85 Mn |
| Mar 28, 2026 | 18.00 Mn |
| Dec 27, 2025 | 15.39 Mn |
| Sep 27, 2025 | 14.67 Mn |
| Jun 28, 2025 | 14.58 Mn |
| Mar 29, 2025 | 14.54 Mn |
| Dec 28, 2024 | 14.52 Mn |
| Sep 28, 2024 | 14.53 Mn |
| Jun 29, 2024 | 14.52 Mn |
| Mar 30, 2024 | 14.52 Mn |
| Dec 30, 2023 | 14.63 Mn |
| Sep 30, 2023 | 14.64 Mn |
| Jul 1, 2023 | 14.62 Mn |
| Apr 1, 2023 | 14.64 Mn |
| Dec 31, 2022 | 14.68 Mn |
| Oct 1, 2022 | 14.69 Mn |
| Jun 30, 2022 | 14.66 Mn |
| Apr 2, 2022 | 14.66 Mn |
| Dec 25, 2021 | 14.59 Mn |
| Sep 25, 2021 | 14.81 Mn |
Cps Technologies Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=CPSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=CPSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();