Preformed Line Products (PLPC) Total Non-Current Liabilities (2010 - 2026)
Preformed Line Products' Total Non-Current Liabilities came in at $180.89 million for Q2 2026, up 18.4% from $152.8 million a year earlier and up 6.8% from the prior quarter.
Preformed Line Products (PLPC) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Preformed Line Products' Total Non-Current Liabilities was $159.23 million, up 16.2% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $137.07 million in FY2024 (-20.1%), $171.54 million in FY2023 (-12.0%), $194.94 million in FY2022 (+21.7%) and $160.18 million in FY2021 (+3.6%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q3 2023.
- Year-over-year, Total Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 2.0% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2022 (growth of 26.3%), and the weakest in Q2 2024 (a decline of 31.2%).
- Business Quant data shows PLPC's Total Non-Current Liabilities at $169.3 million (Q1 2026), $159.23 million (Q4 2025) and $159.62 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Preformed Line Products | 1.99 Bn | 1.69 Bn | 73.01 Mn | 180.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 180.89 Mn |
| Mar 31, 2026 | 169.30 Mn |
| Dec 31, 2025 | 159.23 Mn |
| Sep 30, 2025 | 159.62 Mn |
| Jun 30, 2025 | 152.80 Mn |
| Mar 31, 2025 | 141.07 Mn |
| Dec 31, 2024 | 137.07 Mn |
| Sep 30, 2024 | 148.41 Mn |
| Jun 30, 2024 | 142.02 Mn |
| Mar 31, 2024 | 158.44 Mn |
| Dec 31, 2023 | 171.54 Mn |
| Sep 30, 2023 | 191.96 Mn |
| Jun 30, 2023 | 206.52 Mn |
| Mar 31, 2023 | 204.21 Mn |
| Dec 31, 2022 | 194.94 Mn |
| Sep 30, 2022 | 187.16 Mn |
| Jun 30, 2022 | 191.43 Mn |
| Mar 31, 2022 | 191.44 Mn |
| Dec 31, 2021 | 160.18 Mn |
| Sep 30, 2021 | 173.04 Mn |
Preformed Line Products Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PLPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PLPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();