Preformed Line Products (PLPC) Research & Development (2010 - 2026)
Preformed Line Products (PLPC) posted Research & Development of $7.16 million for Q2 2026, up 25.6% from $5.7 million a year earlier and up 6.2% from the prior quarter.
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Analysis
Preformed Line Products (PLPC) Research & Development (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Preformed Line Products was $26.4 million, up 18.4% year-over-year; for FY2025, it was $23.69 million, up 8.0% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In prior years, Preformed Line Products' Research & Development was $21.92 million in FY2024 (-2.5%), $22.48 million in FY2023 (+14.3%), $19.66 million in FY2022 (+2.5%) and $19.19 million in FY2021 (+8.9%).
- The Q2 2026 figure stands as the highest quarterly Research & Development in data going back to Q2 2010.
- On a year-over-year basis, Research & Development has increased in each of the last six quarters, with growth averaging 9.2% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was Q2 2026, with growth of 25.6%; the weakest was Q2 2024, with a decline of 7.0%.
- According to Business Quant data, Research & Development for the three prior quarters was $6.74 million (Q1 2026), $6.33 million (Q4 2025) and $6.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 616.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | - |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 567.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 227.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | - |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | - |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 302.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Preformed Line Products | 1.99 Bn | 1.69 Bn | 73.01 Mn | 7.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.16 Mn |
| Mar 31, 2026 | 6.74 Mn |
| Dec 31, 2025 | 6.33 Mn |
| Sep 30, 2025 | 6.18 Mn |
| Jun 30, 2025 | 5.70 Mn |
| Mar 31, 2025 | 5.48 Mn |
| Dec 31, 2024 | 5.59 Mn |
| Sep 30, 2024 | 5.55 Mn |
| Jun 30, 2024 | 5.36 Mn |
| Mar 31, 2024 | 5.43 Mn |
| Dec 31, 2023 | 5.69 Mn |
| Sep 30, 2023 | 5.84 Mn |
| Jun 30, 2023 | 5.76 Mn |
| Mar 31, 2023 | 5.19 Mn |
| Dec 31, 2022 | 4.78 Mn |
| Sep 30, 2022 | 4.74 Mn |
| Jun 30, 2022 | 5.36 Mn |
| Mar 31, 2022 | 4.77 Mn |
| Dec 31, 2021 | 4.95 Mn |
| Sep 30, 2021 | 4.86 Mn |
API Access
Preformed Line Products Research & Development 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=research-and-development&ticker=PLPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=PLPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();