Preformed Line Products (PLPC) Non-Current Assets (2010 - 2026)
Preformed Line Products (PLPC) reported Non-Current Assets of $300.97 million for Q2 2026, up 8.1% from $278.3 million a year earlier and up 3.6% from the prior quarter.
Preformed Line Products (PLPC) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Preformed Line Products posted Non-Current Assets of $290.16 million, up 12.4% from FY2024.
- Non-Current Assets has a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $258.08 million in FY2024 (-7.3%), $278.34 million in FY2023 (+15.8%), $240.31 million in FY2022 (+10.8%) and $216.91 million in FY2021 (+5.9%).
- The Q2 2026 figure ranks as the highest quarterly Non-Current Assets in data going back to Q4 2010.
- Year over year, Non-Current Assets has now increased in each of the last five quarters, with growth averaging 3.8% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q3 2023 (growth of 20.6%); the low point was Q4 2024 (a decline of 7.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $290.44 million (Q1 2026), $290.16 million (Q4 2025) and $284.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 48.16 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 26.99 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 41.41 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 23.18 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 5.92 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 32.55 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 20.81 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 9.89 Bn |
| 10 | Preformed Line Products | 1.99 Bn | 1.69 Bn | 73.01 Mn | 300.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 300.97 Mn |
| Mar 31, 2026 | 290.44 Mn |
| Dec 31, 2025 | 290.16 Mn |
| Sep 30, 2025 | 284.35 Mn |
| Jun 30, 2025 | 278.30 Mn |
| Mar 31, 2025 | 265.73 Mn |
| Dec 31, 2024 | 258.08 Mn |
| Sep 30, 2024 | 271.31 Mn |
| Jun 30, 2024 | 267.51 Mn |
| Mar 31, 2024 | 271.85 Mn |
| Dec 31, 2023 | 278.34 Mn |
| Sep 30, 2023 | 268.42 Mn |
| Jun 30, 2023 | 268.52 Mn |
| Mar 31, 2023 | 263.08 Mn |
| Dec 31, 2022 | 240.31 Mn |
| Sep 30, 2022 | 222.55 Mn |
| Jun 30, 2022 | 230.01 Mn |
| Mar 31, 2022 | 235.42 Mn |
| Dec 31, 2021 | 216.91 Mn |
| Sep 30, 2021 | 222.19 Mn |
Preformed Line Products Non-Current Assets 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=non-current-assets&ticker=PLPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=PLPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();