Rogers (ROG) Inventory (2010 - 2026)
Rogers (ROG) recorded Inventory of $130 million in Q2 2026, down 14.0% from $151.2 million a year earlier but up 2.0% from the prior quarter.
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Analysis
Rogers (ROG) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Rogers reported Inventory of $125 million, down 12.2% from FY2024.
- Annual Inventory has declined for three straight years, though with a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $142.3 million in FY2024 (-7.3%), $153.5 million in FY2023 (-15.8%), $182.4 million in FY2022 (+36.7%) and $133.38 million in FY2021 (+30.3%).
- Quarterly Inventory has ranged from $118.22 million in Q3 2021 to $182.4 million in Q4 2022 over the past five years.
- On a year-over-year basis, Inventory has declined for four consecutive quarters, with an average decline of 7.3% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 54.5% in Q2 2022, against a decline of 15.8% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $127.5 million (Q1 2026), $125 million (Q4 2025) and $142.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 2.12 Bn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 3.43 Bn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 2.53 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 751.60 Mn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 4.08 Bn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | 6.16 Bn |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 730.00 Mn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 2.23 Bn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 1.67 Bn |
| 10 | Rogers | 2.50 Bn | 1.73 Bn | 70.40 Mn | 130.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 130.00 Mn |
| Mar 31, 2026 | 127.50 Mn |
| Dec 31, 2025 | 125.00 Mn |
| Sep 30, 2025 | 142.90 Mn |
| Jun 30, 2025 | 151.20 Mn |
| Mar 31, 2025 | 143.00 Mn |
| Dec 31, 2024 | 142.30 Mn |
| Sep 30, 2024 | 154.40 Mn |
| Jun 30, 2024 | 150.80 Mn |
| Mar 31, 2024 | 150.90 Mn |
| Dec 31, 2023 | 153.50 Mn |
| Sep 30, 2023 | 157.07 Mn |
| Jun 30, 2023 | 169.68 Mn |
| Mar 31, 2023 | 177.09 Mn |
| Dec 31, 2022 | 182.40 Mn |
| Sep 30, 2022 | 173.61 Mn |
| Jun 30, 2022 | 171.13 Mn |
| Mar 31, 2022 | 152.15 Mn |
| Dec 31, 2021 | 133.38 Mn |
| Sep 30, 2021 | 118.22 Mn |
API Access
Rogers Inventory 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=inventory&ticker=ROG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=ROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();