Cts (CTS) Cost of Revenue (2010 - 2026)
Cts (CTS) reported Cost of Revenue of $86.43 million for Q3 2026, down 1.4% from $87.63 million a year earlier but up 2.0% from the prior quarter.
Cts (CTS) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Cts' Cost of Revenue came in at $338.97 million, up 2.9% year-over-year; for FY2025, it was $333.29 million, up 1.9% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $327.2 million in FY2024 (-9.0%), $359.56 million in FY2023 (-4.5%), $376.33 million in FY2022 (+14.6%) and $328.31 million in FY2021 (+15.2%).
- Five-year quarterly Cost of Revenue spans a low of $79.22 million in Q1 2025 and a high of $98.57 million in Q3 2022.
- Year over year, Cost of Revenue gained in four of the last eight quarters, with growth averaging 1.4%.
- The high point for year-over-year Cost of Revenue in five years was Q3 2022 (growth of 28.5%); the low point was Q1 2024 (a decline of 14.5%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $84.73 million (Q2 2026), $84.24 million (Q1 2026) and $83.57 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 272.80 Bn | 244.11 Bn | 7.35 Bn | 13.33 Bn |
| 2 | Amphenol | 198.14 Bn | 192.84 Bn | 4.02 Bn | 6.21 Bn |
| 3 | Deere | 187.87 Bn | 155.97 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 140.20 Bn | 137.13 Bn | 3.11 Bn | 5.84 Bn |
| 5 | Parker-Hannifin | 120.98 Bn | 118.87 Bn | 2.26 Bn | 3.73 Bn |
| 6 | 3M | 98.40 Bn | 79.84 Bn | 2.78 Bn | 3.80 Bn |
| 7 | Emerson Electric | 95.50 Bn | 88.24 Bn | 2.66 Bn | 2.22 Bn |
| 8 | Illinois Tool Works | 82.34 Bn | 79.02 Bn | 1.91 Bn | 2.33 Bn |
| 9 | Vertiv Holdings | 76.83 Bn | 65.68 Bn | 1.64 Bn | 2.67 Bn |
| 10 | Cts | 1.72 Bn | 1.30 Bn | 63.15 Mn | 86.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 86.43 Mn |
| Jun 30, 2026 | 84.73 Mn |
| Mar 31, 2026 | 84.24 Mn |
| Dec 31, 2025 | 83.57 Mn |
| Sep 30, 2025 | 87.63 Mn |
| Jun 30, 2025 | 82.88 Mn |
| Mar 31, 2025 | 79.22 Mn |
| Dec 31, 2024 | 79.56 Mn |
| Sep 30, 2024 | 83.20 Mn |
| Jun 30, 2024 | 83.79 Mn |
| Mar 31, 2024 | 80.66 Mn |
| Dec 31, 2023 | 82.63 Mn |
| Sep 30, 2023 | 88.15 Mn |
| Jun 30, 2023 | 94.44 Mn |
| Mar 31, 2023 | 94.34 Mn |
| Dec 31, 2022 | 91.28 Mn |
| Sep 30, 2022 | 98.57 Mn |
| Jun 30, 2022 | 93.13 Mn |
| Mar 31, 2022 | 93.36 Mn |
| Dec 31, 2021 | 83.86 Mn |
Cts Cost of Revenue 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=cost-of-revenue&ticker=CTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();