Preformed Line Products (PLPC) Total Liabilities (2010 - 2026)
Preformed Line Products (PLPC) reported Total Liabilities of $202.89 million for Q2 2026, up 18.9% from $170.69 million a year earlier and up 7.8% from the prior quarter.
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Analysis
Preformed Line Products (PLPC) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Preformed Line Products posted Total Liabilities of $178.07 million, up 17.5% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- By year, Total Liabilities came in at $151.55 million in FY2024 (-19.0%), $187 million in FY2023 (-10.9%), $209.86 million in FY2022 (+21.4%) and $172.92 million in FY2021 (+2.3%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities since Q3 2023.
- Year over year, Total Liabilities has now increased in each of the last five quarters, with growth averaging 3.2% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q1 2022 (growth of 24.0%); the low point was Q2 2024 (a decline of 30.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $188.25 million (Q1 2026), $178.07 million (Q4 2025) and $178.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Preformed Line Products | 1.99 Bn | 1.69 Bn | 73.01 Mn | 202.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 202.89 Mn |
| Mar 31, 2026 | 188.25 Mn |
| Dec 31, 2025 | 178.07 Mn |
| Sep 30, 2025 | 178.29 Mn |
| Jun 30, 2025 | 170.69 Mn |
| Mar 31, 2025 | 156.63 Mn |
| Dec 31, 2024 | 151.55 Mn |
| Sep 30, 2024 | 162.97 Mn |
| Jun 30, 2024 | 156.37 Mn |
| Mar 31, 2024 | 172.74 Mn |
| Dec 31, 2023 | 187.00 Mn |
| Sep 30, 2023 | 206.78 Mn |
| Jun 30, 2023 | 223.49 Mn |
| Mar 31, 2023 | 221.53 Mn |
| Dec 31, 2022 | 209.86 Mn |
| Sep 30, 2022 | 199.71 Mn |
| Jun 30, 2022 | 204.37 Mn |
| Mar 31, 2022 | 205.59 Mn |
| Dec 31, 2021 | 172.92 Mn |
| Sep 30, 2021 | 184.80 Mn |
API Access
Preformed Line Products Total Liabilities 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=total-liabilities&ticker=PLPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PLPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();