Rogers (ROG) Cash from Operations (2010 - 2026)
Rogers' Cash from Operations was $24.4 million in Q2 2026, up 78.1% from $13.7 million a year earlier and up 320.7% from the prior quarter.
Rogers (ROG) Cash from Operations (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rogers' Cash from Operations was $106 million through Jun 30, 2026, up 4.4% year-over-year; for FY2025, it came in at $101.2 million, down 20.4% from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of -9.3% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $127.1 million in FY2024 (-3.3%), $131.4 million in FY2023 (+1.5%), $129.5 million in FY2022 (+4.1%) and $124.4 million in FY2021 (-24.6%).
- Quarterly Cash from Operations has moved between -$13.72 million (Q1 2022) and $127.67 million (Q4 2022) over five years.
- Compared with a year earlier, Cash from Operations was higher in three of the last eight quarters, with an average decline of 14.5%.
- The best year-over-year quarter for Cash from Operations over five years was Q2 2023 (growth of 667.0%); the worst was Q2 2022 (a decline of 93.1%).
- Per Business Quant data, ROG's Cash from Operations in the three quarters before Q2 2026 was $5.8 million (Q1 2026), $46.9 million (Q4 2025) and $28.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 2.27 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 1.72 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 1.35 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 1.31 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | -466.00 Mn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 752.00 Mn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 2.48 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 241.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 131.80 Mn |
| 10 | Rogers | 2.74 Bn | 1.97 Bn | 70.40 Mn | 24.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.40 Mn |
| Mar 31, 2026 | 5.80 Mn |
| Dec 31, 2025 | 46.90 Mn |
| Sep 30, 2025 | 28.90 Mn |
| Jun 30, 2025 | 13.70 Mn |
| Mar 31, 2025 | 11.70 Mn |
| Dec 31, 2024 | 33.70 Mn |
| Sep 30, 2024 | 42.40 Mn |
| Jun 30, 2024 | 22.90 Mn |
| Mar 31, 2024 | 28.10 Mn |
| Dec 31, 2023 | 71.90 Mn |
| Sep 30, 2023 | 42.00 Mn |
| Jun 30, 2023 | 15.70 Mn |
| Mar 31, 2023 | 1.80 Mn |
| Dec 31, 2022 | 127.67 Mn |
| Sep 30, 2022 | 13.51 Mn |
| Jun 30, 2022 | 2.05 Mn |
| Mar 31, 2022 | -13.72 Mn |
| Dec 31, 2021 | 18.29 Mn |
| Sep 30, 2021 | 39.91 Mn |
Rogers Cash from Operations 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=cash-from-operations&ticker=ROG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=ROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();