Cts (CTS) EBITDA (2010 - 2026)
Cts' EBITDA was $35.58 million in Q2 2026, up 13.7% from $31.28 million a year earlier and up 15.5% from the prior quarter.
Cts (CTS) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cts' EBITDA was $127.49 million through Jun 30, 2026, up 14.6% year-over-year; for FY2025, it came in at $117.18 million, up 14.8% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- In earlier years, EBITDA was $102.11 million in FY2024 (-1.6%), $103.76 million in FY2023 (-15.5%), $122.76 million in FY2022 (+18.7%) and $103.41 million in FY2021 (+44.0%).
- The Q2 2026 figure marks the highest quarterly EBITDA in data going back to Q3 2010.
- Compared with a year earlier, EBITDA has increased for eight straight quarters, with growth averaging 15.4% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q1 2022 (growth of 29.6%); the worst was Q1 2024 (a decline of 24.9%).
- Per Business Quant data, CTS's EBITDA in the three quarters before Q2 2026 was $30.79 million (Q1 2026), $31.35 million (Q4 2025) and $29.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Cts | 1.70 Bn | 1.30 Bn | 60.05 Mn | 35.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.58 Mn |
| Mar 31, 2026 | 30.79 Mn |
| Dec 31, 2025 | 31.35 Mn |
| Sep 30, 2025 | 29.77 Mn |
| Jun 30, 2025 | 31.28 Mn |
| Mar 31, 2025 | 24.78 Mn |
| Dec 31, 2024 | 26.29 Mn |
| Sep 30, 2024 | 28.87 Mn |
| Jun 30, 2024 | 25.09 Mn |
| Mar 31, 2024 | 21.86 Mn |
| Dec 31, 2023 | 23.54 Mn |
| Sep 30, 2023 | 25.44 Mn |
| Jun 30, 2023 | 25.69 Mn |
| Mar 31, 2023 | 29.09 Mn |
| Dec 31, 2022 | 29.66 Mn |
| Sep 30, 2022 | 30.61 Mn |
| Jun 30, 2022 | 29.70 Mn |
| Mar 31, 2022 | 32.80 Mn |
| Dec 31, 2021 | 25.14 Mn |
| Sep 30, 2021 | 25.69 Mn |
Cts EBITDA 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=ebitda&ticker=CTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();