Cts (CTS) Shares Outstanding (Diluted) (2010 - 2026)
Cts' Weighted Average Shares Outstanding (Diluted) was 28.92 million in Q3 2026, down 2.4% from 29.63 million a year earlier and unchanged from the prior quarter.
Cts (CTS) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Cts came in at 29.81 million, down 3.0% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has now declined for seven consecutive years, with a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 30.72 million in FY2024 (-2.7%), 31.58 million in FY2023 (-2.0%), 32.24 million in FY2022 (-0.3%) and 32.33 million in FY2021 (-0.8%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has moved between 28.91 million (Q2 2026) and 32.33 million (Q1 2022) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has declined for 21 straight quarters, with an average decline of 3.0% over the last eight quarters.
- Over the past five years, the year-over-year decline in Weighted Average Shares Outstanding (Diluted) ranged from 0.3% (Q4 2022) to 4.4% (Q1 2026).
- Per Business Quant data, CTS's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 28.91 million (Q2 2026), 29 million (Q1 2026) and 29.81 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 460.90 Mn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 2.58 Bn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 389.60 Mn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 127.80 Mn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 522.60 Mn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 561.10 Mn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 285.30 Mn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 392.68 Mn |
| 10 | Cts | 1.65 Bn | 1.23 Bn | 63.15 Mn | 28.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 28.92 Mn |
| Jun 30, 2026 | 28.91 Mn |
| Mar 31, 2026 | 29.00 Mn |
| Dec 31, 2025 | 29.81 Mn |
| Sep 30, 2025 | 29.63 Mn |
| Jun 30, 2025 | 29.99 Mn |
| Mar 31, 2025 | 30.33 Mn |
| Dec 31, 2024 | 30.72 Mn |
| Sep 30, 2024 | 30.54 Mn |
| Jun 30, 2024 | 30.73 Mn |
| Mar 31, 2024 | 30.99 Mn |
| Dec 31, 2023 | 31.58 Mn |
| Sep 30, 2023 | 31.51 Mn |
| Jun 30, 2023 | 31.69 Mn |
| Mar 31, 2023 | 31.89 Mn |
| Dec 31, 2022 | 32.24 Mn |
| Sep 30, 2022 | 32.09 Mn |
| Jun 30, 2022 | 32.24 Mn |
| Mar 31, 2022 | 32.33 Mn |
| Dec 31, 2021 | 32.33 Mn |
Cts 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=CTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "CTS", "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=CTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();