Cts (CTS) Property, Plant & Equipment (Net) (2010 - 2026)
Cts (CTS) reported Property, Plant & Equipment (Net) of $89.11 million for Q2 2026, down 4.7% from $93.53 million a year earlier and down 0.3% from the prior quarter.
Powered by 
Analysis
Cts (CTS) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Cts posted Property, Plant & Equipment (Net) of $89.74 million, down 4.9% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $94.36 million in FY2024 (+1.9%), $92.59 million in FY2023 (-4.8%), $97.3 million in FY2022 (+0.4%) and $96.88 million in FY2021 (-0.6%).
- The Q2 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q4 2017.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last four quarters, with an average decline of 1.3% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q2 2022 (growth of 7.1%); the low point was Q3 2021 (a decline of 5.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $89.4 million (Q1 2026), $89.74 million (Q4 2025) and $90.58 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 15.63 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 4.70 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.02 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 1.18 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.86 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 6.88 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.24 Bn |
| 10 | Cts | 1.76 Bn | 1.37 Bn | 60.05 Mn | 89.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 89.11 Mn |
| Mar 31, 2026 | 89.40 Mn |
| Dec 31, 2025 | 89.74 Mn |
| Sep 30, 2025 | 90.58 Mn |
| Jun 30, 2025 | 93.53 Mn |
| Mar 31, 2025 | 93.79 Mn |
| Dec 31, 2024 | 94.36 Mn |
| Sep 30, 2024 | 93.47 Mn |
| Jun 30, 2024 | 91.76 Mn |
| Mar 31, 2024 | 91.63 Mn |
| Dec 31, 2023 | 92.59 Mn |
| Sep 30, 2023 | 92.88 Mn |
| Jun 30, 2023 | 94.96 Mn |
| Mar 31, 2023 | 96.28 Mn |
| Dec 31, 2022 | 97.30 Mn |
| Sep 30, 2022 | 95.91 Mn |
| Jun 30, 2022 | 99.64 Mn |
| Dec 31, 2021 | 96.88 Mn |
| Sep 30, 2021 | 92.53 Mn |
| Jun 30, 2021 | 93.02 Mn |
API Access
Cts Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=CTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();