Preformed Line Products (PLPC) Non-Current Debt (2010 - 2026)
Preformed Line Products (PLPC) posted Non-Current Debt of $35.92 million for Q2 2026, up 28.8% from $27.88 million a year earlier and up 3.4% from the prior quarter.
Preformed Line Products (PLPC) Non-Current Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Preformed Line Products' Non-Current Debt came in at $32.86 million, up 79.0% from FY2024.
- Annual Non-Current Debt shows a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- In prior years, Preformed Line Products' Non-Current Debt was $18.36 million in FY2024 (-62.4%), $48.8 million in FY2023 (-28.7%), $68.42 million in FY2022 (+70.8%) and $40.05 million in FY2021 (+20.1%).
- The Q2 2026 figure stands as the highest quarterly Non-Current Debt since Q1 2024.
- On a year-over-year basis, Non-Current Debt has increased in each of the last four quarters, with growth averaging 1.6% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Debt in the past five years was Q4 2025, with growth of 79.0%; the weakest was Q4 2024, with a decline of 62.4%.
- According to Business Quant data, Non-Current Debt for the three prior quarters was $34.74 million (Q1 2026), $32.86 million (Q4 2025) and $31.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 32.04 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 17.18 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 6.10 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 18.51 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 6.77 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 2.94 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 7.53 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 10.90 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 6.55 Bn |
| 10 | Preformed Line Products | 1.99 Bn | 1.69 Bn | 73.01 Mn | 35.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.92 Mn |
| Mar 31, 2026 | 34.74 Mn |
| Dec 31, 2025 | 32.86 Mn |
| Sep 30, 2025 | 31.35 Mn |
| Jun 30, 2025 | 27.88 Mn |
| Mar 31, 2025 | 25.68 Mn |
| Dec 31, 2024 | 18.36 Mn |
| Sep 30, 2024 | 24.58 Mn |
| Jun 30, 2024 | 28.82 Mn |
| Mar 31, 2024 | 47.93 Mn |
| Dec 31, 2023 | 48.80 Mn |
| Sep 30, 2023 | 45.27 Mn |
| Jun 30, 2023 | 68.94 Mn |
| Mar 31, 2023 | 68.37 Mn |
| Dec 31, 2022 | 68.42 Mn |
| Sep 30, 2022 | 55.94 Mn |
| Jun 30, 2022 | 57.50 Mn |
| Mar 31, 2022 | 60.59 Mn |
| Dec 31, 2021 | 40.05 Mn |
| Sep 30, 2021 | 42.42 Mn |
Preformed Line Products Non-Current Debt 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-debt&ticker=PLPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-debt&ticker=PLPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();