Preformed Line Products (PLPC) Return on Capital Employed [ROCE] (2011 - 2026)
Preformed Line Products' Return on Capital Employed [ROCE] was 12.15% in Q2 2026, up 0.46 percentage points from 11.70% a year earlier and up 1.72 percentage points from the prior quarter.
Preformed Line Products (PLPC) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Preformed Line Products came in at 11.05%, up 0.48 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -0.65 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 10.57% in FY2024 (-7.16 pp), 17.74% in FY2023 (+0.96 pp), 16.78% in FY2022 (+3.91 pp) and 12.87% in FY2021 (+1.16 pp).
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q1 2024.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in three of the last eight quarters, with an average year-over-year change of -2.22 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2023 (a gain of 8.05 percentage points); the worst was Q3 2024 (a drop of 12.69 percentage points).
- Per Business Quant data, PLPC's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 10.43% (Q1 2026), 10.32% (Q4 2025) and 11.68% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 22.08% |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 23.04% |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 12.16% |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 18.77% |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 29.36% |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 14.90% |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 19.43% |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 41.86% |
| 10 | Preformed Line Products | 1.99 Bn | 1.69 Bn | 73.01 Mn | 12.15% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.15% |
| Mar 31, 2026 | 10.43% |
| Dec 31, 2025 | 10.32% |
| Sep 30, 2025 | 11.68% |
| Jun 30, 2025 | 11.70% |
| Mar 31, 2025 | 10.96% |
| Dec 31, 2024 | 10.70% |
| Sep 30, 2024 | 8.58% |
| Jun 30, 2024 | 10.49% |
| Mar 31, 2024 | 13.48% |
| Dec 31, 2023 | 17.05% |
| Sep 30, 2023 | 21.27% |
| Jun 30, 2023 | 20.42% |
| Mar 31, 2023 | 19.32% |
| Dec 31, 2022 | 15.97% |
| Sep 30, 2022 | 13.48% |
| Jun 30, 2022 | 12.36% |
| Mar 31, 2022 | 11.67% |
| Dec 31, 2021 | 12.33% |
| Sep 30, 2021 | 10.81% |
Preformed Line Products Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=PLPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=PLPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();