Rogers (ROG) Property, Plant & Equipment (Net) (2010 - 2026)
Rogers (ROG) posted Property, Plant & Equipment (Net) of $358.2 million for Q2 2026, down 6.4% from $382.5 million a year earlier and down 1.6% from the prior quarter.
Rogers (ROG) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Rogers' Property, Plant & Equipment (Net) came in at $372.4 million, up 2.0% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- In prior years, Rogers' Property, Plant & Equipment (Net) was $365.1 million in FY2024 (-0.3%), $366.3 million in FY2023 (+2.2%), $358.4 million in FY2022 (+9.6%) and $326.97 million in FY2021 (+20.0%).
- The Q2 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q3 2023.
- On a year-over-year basis, Property, Plant & Equipment (Net) increased in four of the last eight quarters, with growth averaging 1.4%.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q1 2022, with growth of 30.9%; the weakest was Q3 2023, with a decline of 8.9%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $363.9 million (Q1 2026), $372.4 million (Q4 2025) and $378.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 29.17 Bn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 14.93 Bn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 4.22 Bn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | 25.00 Bn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 15.69 Bn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 22.67 Bn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 1.78 Bn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 1.98 Bn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 4.02 Bn |
| 10 | Rogers | 2.87 Bn | 2.10 Bn | 70.40 Mn | 358.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 358.20 Mn |
| Mar 31, 2026 | 363.90 Mn |
| Dec 31, 2025 | 372.40 Mn |
| Sep 30, 2025 | 378.70 Mn |
| Jun 30, 2025 | 382.50 Mn |
| Mar 31, 2025 | 375.50 Mn |
| Dec 31, 2024 | 365.10 Mn |
| Sep 30, 2024 | 381.40 Mn |
| Jun 30, 2024 | 365.70 Mn |
| Mar 31, 2024 | 363.40 Mn |
| Dec 31, 2023 | 366.30 Mn |
| Sep 30, 2023 | 341.70 Mn |
| Jun 30, 2023 | 346.34 Mn |
| Mar 31, 2023 | 361.53 Mn |
| Dec 31, 2022 | 358.40 Mn |
| Sep 30, 2022 | 374.98 Mn |
| Jun 30, 2022 | 360.09 Mn |
| Mar 31, 2022 | 349.68 Mn |
| Dec 31, 2021 | 326.97 Mn |
| Sep 30, 2021 | 294.19 Mn |
Rogers Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ROG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "ROG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=ROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();