Preformed Line Products (PLPC) EBITDA (2010 - 2026)
Preformed Line Products (PLPC) posted EBITDA of $34.16 million for Q2 2026, up 49.7% from $22.81 million a year earlier and up 71.8% from the prior quarter.
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Analysis
Preformed Line Products (PLPC) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Preformed Line Products was $90.87 million, up 14.4% year-over-year; for FY2025, it came in at $78.17 million, up 9.2% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- In prior years, Preformed Line Products' EBITDA was $71.59 million in FY2024 (-30.5%), $103.07 million in FY2023 (+20.1%), $85.79 million in FY2022 (+35.9%) and $63.11 million in FY2021 (+16.8%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q3 2010.
- On a year-over-year basis, EBITDA increased in six of the last eight quarters, with growth averaging 18.8%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2023, with growth of 166.6%; the weakest was Q4 2023, with a decline of 60.2%.
- According to Business Quant data, EBITDA for the three prior quarters was $19.88 million (Q1 2026), $17.89 million (Q4 2025) and $18.94 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Preformed Line Products | 1.99 Bn | 1.69 Bn | 73.01 Mn | 34.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.16 Mn |
| Mar 31, 2026 | 19.88 Mn |
| Dec 31, 2025 | 17.89 Mn |
| Sep 30, 2025 | 18.94 Mn |
| Jun 30, 2025 | 22.81 Mn |
| Mar 31, 2025 | 18.53 Mn |
| Dec 31, 2024 | 22.36 Mn |
| Sep 30, 2024 | 15.71 Mn |
| Jun 30, 2024 | 16.54 Mn |
| Mar 31, 2024 | 16.97 Mn |
| Dec 31, 2023 | 12.26 Mn |
| Sep 30, 2023 | 24.72 Mn |
| Jun 30, 2023 | 32.84 Mn |
| Mar 31, 2023 | 33.26 Mn |
| Dec 31, 2022 | 30.83 Mn |
| Sep 30, 2022 | 20.69 Mn |
| Jun 30, 2022 | 21.80 Mn |
| Mar 31, 2022 | 12.47 Mn |
| Dec 31, 2021 | 15.97 Mn |
| Sep 30, 2021 | 16.80 Mn |
API Access
Preformed Line Products EBITDA 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=ebitda&ticker=PLPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PLPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();