Preformed Line Products (PLPC) Enterprise Value (2010 - 2026)
Preformed Line Products' Enterprise Value was $1.93 billion in Q2 2026, up 167.7% from $720.15 million a year earlier and up 53.7% from the prior quarter.
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Analysis
Preformed Line Products (PLPC) Enterprise Value (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Preformed Line Products' Enterprise Value was $1.7 billion through Jun 30, 2026, up 203.6% year-over-year; for FY2025, it came in at $931.13 million, up 63.2% from FY2024.
- Enterprise Value shows a five-year compound annual growth rate of 26.2% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $570.68 million in FY2024 (-5.4%), $603.43 million in FY2023 (+62.1%), $372.29 million in FY2022 (+32.5%) and $281.07 million in FY2021 (-3.2%).
- The Q2 2026 figure marks the highest quarterly Enterprise Value in data going back to Q2 2010.
- Compared with a year earlier, Enterprise Value has increased for six straight quarters, with growth averaging 48.6% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was Q2 2026 (growth of 167.7%); the worst was Q3 2024 (a decline of 22.9%).
- Per Business Quant data, PLPC's Enterprise Value in the three quarters before Q2 2026 was $1.25 billion (Q1 2026), $931.13 million (Q4 2025) and $888.59 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 | 1.93 Bn |
| Mar 31, 2026 | 1.25 Bn |
| Dec 31, 2025 | 931.13 Mn |
| Sep 30, 2025 | 888.59 Mn |
| Jun 30, 2025 | 720.15 Mn |
| Mar 31, 2025 | 637.27 Mn |
| Dec 31, 2024 | 570.68 Mn |
| Sep 30, 2024 | 579.78 Mn |
| Jun 30, 2024 | 564.50 Mn |
| Mar 31, 2024 | 586.94 Mn |
| Dec 31, 2023 | 603.43 Mn |
| Sep 30, 2023 | 751.86 Mn |
| Jun 30, 2023 | 724.46 Mn |
| Mar 31, 2023 | 601.75 Mn |
| Dec 31, 2022 | 372.29 Mn |
| Sep 30, 2022 | 319.11 Mn |
| Jun 30, 2022 | 273.75 Mn |
| Mar 31, 2022 | 278.67 Mn |
| Dec 31, 2021 | 281.07 Mn |
| Sep 30, 2021 | 280.37 Mn |
API Access
Preformed Line Products Enterprise Value 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=enterprise-value&ticker=PLPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=PLPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();