Preformed Line Products (PLPC) Property, Plant & Equipment (Net) (2010 - 2026)
Preformed Line Products (PLPC) reported Property, Plant & Equipment (Net) of $227.56 million for Q2 2026, up 7.4% from $211.92 million a year earlier and up 1.0% from the prior quarter.
Preformed Line Products (PLPC) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Preformed Line Products posted Property, Plant & Equipment (Net) of $222.78 million, up 14.2% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $195.09 million in FY2024 (-6.2%), $207.89 million in FY2023 (+18.8%), $175.01 million in FY2022 (+16.9%) and $149.77 million in FY2021 (+18.9%).
- The Q2 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last five quarters, with growth averaging 5.0% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q2 2023 (growth of 27.2%); the low point was Q4 2024 (a decline of 6.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $225.28 million (Q1 2026), $222.78 million (Q4 2025) and $217.78 million (Q3 2025).
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 | Preformed Line Products | 2.05 Bn | 1.75 Bn | 73.01 Mn | 227.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 227.56 Mn |
| Mar 31, 2026 | 225.28 Mn |
| Dec 31, 2025 | 222.78 Mn |
| Sep 30, 2025 | 217.78 Mn |
| Jun 30, 2025 | 211.92 Mn |
| Mar 31, 2025 | 203.08 Mn |
| Dec 31, 2024 | 195.09 Mn |
| Sep 30, 2024 | 201.19 Mn |
| Jun 30, 2024 | 200.44 Mn |
| Mar 31, 2024 | 203.24 Mn |
| Dec 31, 2023 | 207.89 Mn |
| Sep 30, 2023 | 201.11 Mn |
| Jun 30, 2023 | 200.33 Mn |
| Mar 31, 2023 | 196.15 Mn |
| Dec 31, 2022 | 175.01 Mn |
| Sep 30, 2022 | 159.88 Mn |
| Jun 30, 2022 | 157.44 Mn |
| Mar 31, 2022 | 156.43 Mn |
| Dec 31, 2021 | 149.77 Mn |
| Sep 30, 2021 | 148.10 Mn |
Preformed Line Products 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=PLPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "PLPC", "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=PLPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();