Preformed Line Products (PLPC) Tax Provisions (2010 - 2026)
Preformed Line Products (PLPC) posted Tax Provisions of $6.94 million for Q2 2026, up 50.6% from $4.61 million a year earlier and up 83.5% from the prior quarter.
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Analysis
Preformed Line Products (PLPC) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Preformed Line Products was $14.31 million, down 12.6% year-over-year; for FY2025, it was $10.31 million, down 24.7% from FY2024.
- Annual Tax Provisions has declined for three consecutive years, with a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- In prior years, Preformed Line Products' Tax Provisions was $13.7 million in FY2024 (-27.9%), $19.01 million in FY2023 (-1.5%), $19.31 million in FY2022 (+46.3%) and $13.2 million in FY2021 (+22.1%).
- The Q2 2026 figure stands as the highest quarterly Tax Provisions since Q2 2023.
- On a year-over-year basis, Tax Provisions increased in four of the last seven quarters, with growth averaging 163.8%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q4 2024, with growth of 949.6%; the weakest was Q4 2023, with a decline of 91.5%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $3.78 million (Q1 2026), $3.85 million (Q4 2025) and -$263,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 1.06 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 604.30 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 529.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 321.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 248.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 122.20 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 198.00 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 183.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 265.00 Mn |
| 10 | Preformed Line Products | 1.99 Bn | 1.69 Bn | 73.01 Mn | 6.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.94 Mn |
| Mar 31, 2026 | 3.78 Mn |
| Dec 31, 2025 | 3.85 Mn |
| Sep 30, 2025 | -263,000.00 |
| Jun 30, 2025 | 4.61 Mn |
| Mar 31, 2025 | 2.12 Mn |
| Dec 31, 2024 | 6.92 Mn |
| Sep 30, 2024 | 2.73 Mn |
| Jun 30, 2024 | 1.79 Mn |
| Mar 31, 2024 | 2.26 Mn |
| Dec 31, 2023 | 659,000.00 |
| Sep 30, 2023 | 4.43 Mn |
| Jun 30, 2023 | 7.08 Mn |
| Mar 31, 2023 | 6.84 Mn |
| Dec 31, 2022 | 7.72 Mn |
| Sep 30, 2022 | 5.71 Mn |
| Jun 30, 2022 | 4.04 Mn |
| Mar 31, 2022 | 1.84 Mn |
| Dec 31, 2021 | 3.04 Mn |
| Sep 30, 2021 | 3.10 Mn |
API Access
Preformed Line Products Tax Provisions 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=tax-provisions&ticker=PLPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=PLPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();