Preformed Line Products (PLPC) Acquisitions (2010 - 2025)
Preformed Line Products' Acquisitions came in at $4.75 million for FY2025.
Analysis
Preformed Line Products (PLPC) Acquisitions (2010 - 2025) Analysis & Trends
Going back to FY2009, Preformed Line Products' Acquisitions data covers 8 years.
- Acquisitions carries a three-year compound annual growth rate of -33.6% (FY2022 to FY2025).
- The FY2025 figure represents the lowest annual Acquisitions in data going back to FY2009.
- Per Business Quant, earlier years put Acquisitions at $12.09 million in FY2023 (-25.5%) and $16.24 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 14.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 92.20 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 16.00 Mn |
| 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 | 264.20 Mn |
| 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 |
|---|---|
| Sep 30, 2025 | 566,000.00 |
| Jun 30, 2023 | -1.98 Mn |
| Mar 31, 2023 | 14.07 Mn |
| Dec 31, 2022 | 3.25 Mn |
| Mar 31, 2022 | 12.99 Mn |
| Sep 30, 2019 | -80,000.00 |
| Jun 30, 2019 | 8.80 Mn |
| Mar 31, 2019 | 10.17 Mn |
| Sep 30, 2014 | 235,000.00 |
| Jun 30, 2014 | 817,000.00 |
| Mar 31, 2014 | 13.92 Mn |
| Jun 30, 2012 | -1.00 Mn |
| Mar 31, 2012 | 6.18 Mn |
| Dec 31, 2010 | -19,000.00 |
API Access
Preformed Line Products Acquisitions 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=acquisitions&ticker=PLPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=PLPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();