Preformed Line Products (PLPC) Goodwill & Intangibles (2010 - 2026)
Preformed Line Products (PLPC) posted Goodwill & Intangibles of $45.88 million for Q2 2026, up 16.2% from $39.48 million a year earlier and up 14.2% from the prior quarter.
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Analysis
Preformed Line Products (PLPC) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, Preformed Line Products' Goodwill & Intangibles came in at $40.82 million, up 12.3% from FY2024.
- Annual Goodwill & Intangibles shows a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- In prior years, Preformed Line Products' Goodwill & Intangibles was $36.34 million in FY2024 (-14.4%), $42.48 million in FY2023 (+0.9%), $42.09 million in FY2022 (+4.6%) and $40.23 million in FY2021 (-8.5%).
- The Q2 2026 figure stands as the highest quarterly Goodwill & Intangibles since Q2 2022.
- On a year-over-year basis, Goodwill & Intangibles has increased in each of the last five quarters, with growth averaging 1.6% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q1 2022, with growth of 29.2%; the weakest was Q1 2023, with a decline of 22.7%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $40.19 million (Q1 2026), $40.82 million (Q4 2025) and $40.15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 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 |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.88 Mn |
| Mar 31, 2026 | 40.19 Mn |
| Dec 31, 2025 | 40.82 Mn |
| Sep 30, 2025 | 40.15 Mn |
| Jun 30, 2025 | 39.48 Mn |
| Mar 31, 2025 | 37.48 Mn |
| Dec 31, 2024 | 36.34 Mn |
| Sep 30, 2024 | 39.66 Mn |
| Jun 30, 2024 | 38.96 Mn |
| Mar 31, 2024 | 40.47 Mn |
| Dec 31, 2023 | 42.48 Mn |
| Sep 30, 2023 | 41.18 Mn |
| Jun 30, 2023 | 43.21 Mn |
| Mar 31, 2023 | 42.60 Mn |
| Dec 31, 2022 | 42.09 Mn |
| Sep 30, 2022 | 40.07 Mn |
| Jun 30, 2022 | 49.90 Mn |
| Mar 31, 2022 | 55.10 Mn |
| Dec 31, 2021 | 40.23 Mn |
| Sep 30, 2021 | 41.63 Mn |
API Access
Preformed Line Products Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=PLPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=PLPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();