Rogers (ROG) Price to Earnings (2011 - 2026)
Rogers' (ROG) Price to Earnings was 93.63 for Q2 2026.
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Analysis
Rogers (ROG) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2024, Price to Earnings at Rogers was 72.02, up 65.9% from FY2023.
- By year, Price to Earnings came in at 43.40 in FY2023 (+128.3%), 19.01 in FY2022 (-59.8%), 47.30 in FY2021 (-18.5%) and 58.02 in FY2020 (+18.5%).
- The Q2 2026 figure ranks as the highest quarterly Price to Earnings since Q3 2020.
- The high point for year-over-year Price to Earnings in five years was Q4 2023 (growth of 128.3%); the low point was Q3 2021 (a decline of 88.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn |
| 10 | Rogers | 2.31 Bn | 1.53 Bn | 70.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 93.63 |
| Mar 31, 2025 | 73.92 |
| Dec 31, 2024 | 72.02 |
| Sep 30, 2024 | 42.21 |
| Jun 30, 2024 | 38.61 |
| Mar 31, 2024 | 32.69 |
| Dec 31, 2023 | 43.40 |
| Sep 30, 2023 | 24.31 |
| Jun 30, 2023 | 31.23 |
| Mar 31, 2023 | 31.52 |
| Dec 31, 2022 | 19.01 |
| Sep 30, 2022 | 62.83 |
| Jun 30, 2022 | 59.61 |
| Mar 31, 2022 | 54.65 |
| Dec 31, 2021 | 47.30 |
| Sep 30, 2021 | 34.85 |
| Jun 30, 2021 | 45.80 |
| Mar 31, 2021 | 51.83 |
| Dec 31, 2020 | 58.02 |
| Sep 30, 2020 | 303.96 |
API Access
Rogers Price to Earnings 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=price-to-earnings&ticker=ROG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=ROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();