Cts (CTS) Operating Expenses (2010 - 2026)
Cts (CTS) posted Operating Expenses of $33.25 million for Q2 2026, up 11.9% from $29.7 million a year earlier and up 0.7% from the prior quarter.
Powered by 
Analysis
Cts (CTS) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Cts was $131.67 million, up 12.4% year-over-year; for FY2025, it came in at $125.38 million, up 7.7% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In prior years, Cts' Operating Expenses was $116.37 million in FY2024 (+0.5%), $115.81 million in FY2023 (-1.5%), $117.53 million in FY2022 (+8.7%) and $108.14 million in FY2021 (+15.1%).
- Quarterly Operating Expenses has run from a low of $25.81 million in Q4 2023 to a high of $34.4 million in Q3 2025 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last five quarters, with growth averaging 8.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2025, with growth of 21.5%; the weakest was Q4 2023, with a decline of 12.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $33 million (Q1 2026), $31.02 million (Q4 2025) and $34.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Cts | 1.70 Bn | 1.30 Bn | 60.05 Mn | 33.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.25 Mn |
| Mar 31, 2026 | 33.00 Mn |
| Dec 31, 2025 | 31.02 Mn |
| Sep 30, 2025 | 34.40 Mn |
| Jun 30, 2025 | 29.70 Mn |
| Mar 31, 2025 | 30.26 Mn |
| Dec 31, 2024 | 28.90 Mn |
| Sep 30, 2024 | 28.31 Mn |
| Jun 30, 2024 | 28.61 Mn |
| Mar 31, 2024 | 30.55 Mn |
| Dec 31, 2023 | 25.81 Mn |
| Sep 30, 2023 | 28.21 Mn |
| Jun 30, 2023 | 32.31 Mn |
| Mar 31, 2023 | 29.48 Mn |
| Dec 31, 2022 | 29.37 Mn |
| Sep 30, 2022 | 30.70 Mn |
| Jun 30, 2022 | 29.16 Mn |
| Mar 31, 2022 | 28.29 Mn |
| Dec 31, 2021 | 30.24 Mn |
| Sep 30, 2021 | 26.70 Mn |
API Access
Cts Operating Expenses 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=operating-expenses&ticker=CTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();