Rogers (ROG) Cash from Operations (2009 - 2026)
Rogers' Cash from Operations was $41.4 million in Q3 2026, up 43.3% from $28.9 million a year earlier and up 69.7% from the prior quarter.
Rogers (ROG) Cash from Operations (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rogers' Cash from Operations was $118.5 million through Sep 30, 2026, up 34.7% 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 9.2%.
- 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 Q3 2026 was $24.4 million (Q2 2026), $5.8 million (Q1 2026) and $46.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn | 3.17 Bn |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn | 1.06 Bn |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn | 1.10 Bn |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - | 1.37 Bn |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn | 1.72 Bn |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn | -425.00 Mn |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn | 566.00 Mn |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn | 271.00 Mn |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn | 154.60 Mn |
| 10 | Rogers | 2.28 Bn | 1.44 Bn | 80.70 Mn | 41.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 41.40 Mn |
| 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 |
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();