Preformed Line Products (PLPC) Return on Sales [ROS] (2010 - 2026)
Preformed Line Products (PLPC) posted Return on Sales [ROS] of 13.12% for Q2 2026, up 3.02 percentage points from 10.10% a year earlier and up 5.34 percentage points from the prior quarter.
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Analysis
Preformed Line Products (PLPC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Preformed Line Products was 8.98%, down 0.21 percentage points year-over-year; for FY2025, it was 8.24%, down 0.31 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -0.38 percentage points (FY2020 to FY2025).
- In prior years, Preformed Line Products' Return on Sales [ROS] was 8.55% in FY2024 (-4.02 pp), 12.57% in FY2023 (+1.68 pp), 10.89% in FY2022 (+1.70 pp) and 9.19% in FY2021 (+0.57 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q2 2023.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +0.18 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2023, with a gain of 9.10 percentage points; the weakest was Q4 2023, with a drop of 9.70 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 7.78% (Q1 2026), 6.79% (Q4 2025) and 7.37% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 26.67% |
| 10 | Preformed Line Products | 1.99 Bn | 1.69 Bn | 73.01 Mn | 13.12% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.12% |
| Mar 31, 2026 | 7.78% |
| Dec 31, 2025 | 6.79% |
| Sep 30, 2025 | 7.37% |
| Jun 30, 2025 | 10.10% |
| Mar 31, 2025 | 8.84% |
| Dec 31, 2024 | 10.48% |
| Sep 30, 2024 | 7.07% |
| Jun 30, 2024 | 8.14% |
| Mar 31, 2024 | 8.20% |
| Dec 31, 2023 | 4.77% |
| Sep 30, 2023 | 12.51% |
| Jun 30, 2023 | 15.48% |
| Mar 31, 2023 | 15.94% |
| Dec 31, 2022 | 14.47% |
| Sep 30, 2022 | 10.50% |
| Jun 30, 2022 | 10.98% |
| Mar 31, 2022 | 6.84% |
| Dec 31, 2021 | 8.34% |
| Sep 30, 2021 | 9.66% |
API Access
Preformed Line Products Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=PLPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=PLPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();