Rogers (ROG) Cash & Equivalents (2010 - 2026)
Rogers (ROG) recorded Cash & Equivalents of $181.4 million in Q2 2026, up 15.4% from $157.2 million a year earlier but down 7.4% from the prior quarter.
Rogers (ROG) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Rogers reported Cash & Equivalents of $197 million, up 23.3% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $159.8 million in FY2024 (+21.3%), $131.7 million in FY2023 (-44.2%), $235.9 million in FY2022 (+1.6%) and $232.3 million in FY2021 (+21.1%).
- Quarterly Cash & Equivalents has ranged from $116.9 million in Q1 2024 to $236.46 million in Q3 2022 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for eight consecutive quarters, with growth averaging 22.9% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 50.2% in Q1 2025, against a decline of 46.5% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $195.8 million (Q1 2026), $197 million (Q4 2025) and $167.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 4.90 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 2.50 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 293.50 Mn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 980.50 Mn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 2.37 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 2.63 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 921.00 Mn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 961.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 783.00 Mn |
| 10 | Rogers | 2.74 Bn | 1.97 Bn | 70.40 Mn | 181.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 181.40 Mn |
| Mar 31, 2026 | 195.80 Mn |
| Dec 31, 2025 | 197.00 Mn |
| Sep 30, 2025 | 167.80 Mn |
| Jun 30, 2025 | 157.20 Mn |
| Mar 31, 2025 | 175.60 Mn |
| Dec 31, 2024 | 159.80 Mn |
| Sep 30, 2024 | 146.40 Mn |
| Jun 30, 2024 | 119.90 Mn |
| Mar 31, 2024 | 116.90 Mn |
| Dec 31, 2023 | 131.70 Mn |
| Sep 30, 2023 | 126.46 Mn |
| Jun 30, 2023 | 141.45 Mn |
| Mar 31, 2023 | 193.72 Mn |
| Dec 31, 2022 | 235.90 Mn |
| Sep 30, 2022 | 236.46 Mn |
| Jun 30, 2022 | 225.33 Mn |
| Mar 31, 2022 | 182.14 Mn |
| Dec 31, 2021 | 232.30 Mn |
| Sep 30, 2021 | 220.90 Mn |
Rogers Cash & Equivalents 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-and-equivalents&ticker=ROG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=ROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();