Preformed Line Products (PLPC) Accumulated Expenses (2010 - 2026)
Preformed Line Products' Accumulated Expenses came in at $36.92 million for Q2 2026, up 44.3% from $25.58 million a year earlier and up 24.5% from the prior quarter.
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Analysis
Preformed Line Products (PLPC) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Preformed Line Products' Accumulated Expenses was $22.41 million, down 12.1% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $25.5 million in FY2024 (-7.0%), $27.41 million in FY2023 (+55.5%), $17.64 million in FY2022 (+0.6%) and $17.52 million in FY2021 (+0.1%).
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2010.
- Year-over-year, Accumulated Expenses increased in four of the last eight quarters, with growth averaging 8.4%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2023 (growth of 55.5%), and the weakest in Q3 2022 (a decline of 20.5%).
- Business Quant data shows PLPC's Accumulated Expenses at $29.64 million (Q1 2026), $22.41 million (Q4 2025) and $24.45 million (Q3 2025) in the three quarters before Q2 2026.
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 | 36.92 Mn |
| Mar 31, 2026 | 29.64 Mn |
| Dec 31, 2025 | 22.41 Mn |
| Sep 30, 2025 | 24.45 Mn |
| Jun 30, 2025 | 25.58 Mn |
| Mar 31, 2025 | 26.61 Mn |
| Dec 31, 2024 | 25.50 Mn |
| Sep 30, 2024 | 26.23 Mn |
| Jun 30, 2024 | 22.57 Mn |
| Mar 31, 2024 | 20.96 Mn |
| Dec 31, 2023 | 27.41 Mn |
| Sep 30, 2023 | 26.92 Mn |
| Jun 30, 2023 | 22.73 Mn |
| Mar 31, 2023 | 19.20 Mn |
| Dec 31, 2022 | 17.64 Mn |
| Sep 30, 2022 | 17.53 Mn |
| Jun 30, 2022 | 22.32 Mn |
| Mar 31, 2022 | 21.66 Mn |
| Dec 31, 2021 | 17.52 Mn |
| Sep 30, 2021 | 22.06 Mn |
API Access
Preformed Line Products Accumulated Expenses 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=accumulated-expenses&ticker=PLPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=PLPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();