Preformed Line Products (PLPC) EBITDA Margin (2010 - 2026)
Preformed Line Products (PLPC) posted EBITDA Margin of 16.06% for Q2 2026, up 2.61 percentage points from 13.45% a year earlier and up 4.78 percentage points from the prior quarter.
Preformed Line Products (PLPC) EBITDA Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Preformed Line Products was 12.28%, down 0.28 percentage points year-over-year; for FY2025, it came in at 11.68%, down 0.38 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of +0.09 percentage points (FY2020 to FY2025).
- In prior years, Preformed Line Products' EBITDA Margin was 12.06% in FY2024 (-3.33 pp), 15.39% in FY2023 (+1.92 pp), 13.47% in FY2022 (+1.27 pp) and 12.20% in FY2021 (+0.61 pp).
- The Q2 2026 figure stands as the highest quarterly EBITDA Margin since Q2 2023.
- On a year-over-year basis, EBITDA Margin increased in four of the last eight quarters, with an average year-over-year change of +0.06 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q1 2023, with a gain of 9.27 percentage points; the weakest was Q4 2023, with a drop of 9.72 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 11.28% (Q1 2026), 10.33% (Q4 2025) and 10.63% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 23.91% |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 33.41% |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 19.50% |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 20.99% |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 27.98% |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 34.66% |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 28.77% |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 23.04% |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 28.95% |
| 10 | Preformed Line Products | 1.72 Bn | 1.41 Bn | 73.01 Mn | 16.06% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.06% |
| Mar 31, 2026 | 11.28% |
| Dec 31, 2025 | 10.33% |
| Sep 30, 2025 | 10.63% |
| Jun 30, 2025 | 13.45% |
| Mar 31, 2025 | 12.47% |
| Dec 31, 2024 | 13.38% |
| Sep 30, 2024 | 10.69% |
| Jun 30, 2024 | 11.92% |
| Mar 31, 2024 | 12.05% |
| Dec 31, 2023 | 8.42% |
| Sep 30, 2023 | 15.41% |
| Jun 30, 2023 | 18.06% |
| Mar 31, 2023 | 18.29% |
| Dec 31, 2022 | 18.14% |
| Sep 30, 2022 | 12.51% |
| Jun 30, 2022 | 13.34% |
| Mar 31, 2022 | 9.02% |
| Dec 31, 2021 | 12.15% |
| Sep 30, 2021 | 12.41% |
Preformed Line Products EBITDA Margin 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-margin&ticker=PLPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=PLPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();