Preformed Line Products (PLPC) Long-Term Debt Repayments (2010 - 2026)
Preformed Line Products' Long-Term Debt Repayments was $1.18 million in Q2 2026, up 50.3% from $786,000 a year earlier but down 26.7% from the prior quarter.
Preformed Line Products (PLPC) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Preformed Line Products' Long-Term Debt Repayments was $7.86 million through Jun 30, 2026, down 85.8% year-over-year; for FY2025, it was $6.63 million, down 94.9% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -43.0% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $130.13 million in FY2024 (-30.1%), $186.18 million in FY2023 (+19.4%), $155.93 million in FY2022 (+37.3%) and $113.54 million in FY2021 (+3.1%).
- Quarterly Long-Term Debt Repayments has moved between $777,000 (Q1 2025) and $50.68 million (Q3 2023) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in two of the last eight quarters, with an average decline of 37.7%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q1 2026 (growth of 107.5%); the worst was Q2 2025 (a decline of 98.2%).
- Per Business Quant data, PLPC's Long-Term Debt Repayments in the three quarters before Q2 2026 was $1.61 million (Q1 2026), $1.17 million (Q4 2025) and $3.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 324.12 Bn | 295.81 Bn | 7.76 Bn | 1.54 Bn |
| 2 | Amphenol | 179.02 Bn | 173.60 Bn | 3.55 Bn | 1.19 Bn |
| 3 | Deere | 172.53 Bn | 140.62 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 143.51 Bn | 140.70 Bn | 2.86 Bn | 74.00 Mn |
| 5 | Parker-Hannifin | 113.47 Bn | 111.60 Bn | 2.25 Bn | 10.00 Mn |
| 6 | 3M | 90.56 Bn | 72.00 Bn | 2.78 Bn | 650.00 Mn |
| 7 | Emerson Electric | 88.49 Bn | 81.23 Bn | 2.66 Bn | 1.42 Bn |
| 8 | Illinois Tool Works | 79.49 Bn | 76.05 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 75.50 Bn | 66.12 Bn | 1.23 Bn | - |
| 10 | Preformed Line Products | 1.58 Bn | 1.28 Bn | 73.01 Mn | 1.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.18 Mn |
| Mar 31, 2026 | 1.61 Mn |
| Dec 31, 2025 | 1.17 Mn |
| Sep 30, 2025 | 3.90 Mn |
| Jun 30, 2025 | 786,000.00 |
| Mar 31, 2025 | 777,000.00 |
| Dec 31, 2024 | 8.06 Mn |
| Sep 30, 2024 | 45.86 Mn |
| Jun 30, 2024 | 43.15 Mn |
| Mar 31, 2024 | 33.07 Mn |
| Dec 31, 2023 | 35.21 Mn |
| Sep 30, 2023 | 50.68 Mn |
| Jun 30, 2023 | 49.65 Mn |
| Mar 31, 2023 | 50.63 Mn |
| Dec 31, 2022 | 47.06 Mn |
| Sep 30, 2022 | 43.93 Mn |
| Jun 30, 2022 | 35.45 Mn |
| Mar 31, 2022 | 29.49 Mn |
| Dec 31, 2021 | 31.91 Mn |
| Sep 30, 2021 | 28.60 Mn |
Preformed Line Products Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PLPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=PLPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();