Preformed Line Products (PLPC) Inventory (2010 - 2026)
Preformed Line Products (PLPC) posted Inventory of $147.82 million for Q2 2026, up 3.1% from $143.37 million a year earlier but down 2.6% from the prior quarter.
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Analysis
Preformed Line Products (PLPC) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Preformed Line Products' Inventory came in at $148.73 million, up 14.5% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- In prior years, Preformed Line Products' Inventory was $129.91 million in FY2024 (-12.7%), $148.81 million in FY2023 (+0.9%), $147.46 million in FY2022 (+28.8%) and $114.51 million in FY2021 (+17.4%).
- Quarterly Inventory has run from a low of $108.6 million in Q3 2021 to a high of $151.81 million in Q1 2026 over five years.
- On a year-over-year basis, Inventory has increased in each of the last five quarters, with growth averaging 1.4% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was Q4 2022, with growth of 28.8%; the weakest was Q4 2024, with a decline of 12.7%.
- According to Business Quant data, Inventory for the three prior quarters was $151.81 million (Q1 2026), $148.73 million (Q4 2025) and $146.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 4.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 2.52 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 2.51 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 3.77 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.76 Bn |
| 10 | Preformed Line Products | 1.99 Bn | 1.69 Bn | 73.01 Mn | 147.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 147.82 Mn |
| Mar 31, 2026 | 151.81 Mn |
| Dec 31, 2025 | 148.73 Mn |
| Sep 30, 2025 | 146.09 Mn |
| Jun 30, 2025 | 143.37 Mn |
| Mar 31, 2025 | 135.10 Mn |
| Dec 31, 2024 | 129.91 Mn |
| Sep 30, 2024 | 142.73 Mn |
| Jun 30, 2024 | 141.81 Mn |
| Mar 31, 2024 | 141.51 Mn |
| Dec 31, 2023 | 148.81 Mn |
| Sep 30, 2023 | 149.64 Mn |
| Jun 30, 2023 | 148.48 Mn |
| Mar 31, 2023 | 149.78 Mn |
| Dec 31, 2022 | 147.46 Mn |
| Sep 30, 2022 | 134.58 Mn |
| Jun 30, 2022 | 127.41 Mn |
| Mar 31, 2022 | 126.11 Mn |
| Dec 31, 2021 | 114.51 Mn |
| Sep 30, 2021 | 108.60 Mn |
API Access
Preformed Line Products Inventory 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=inventory&ticker=PLPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=PLPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();