Rogers (ROG) Total Liabilities (2010 - 2026)
Rogers (ROG) recorded Total Liabilities of $241.7 million in Q2 2026, down 1.2% from $244.6 million a year earlier but up 3.4% from the prior quarter.
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Analysis
Rogers (ROG) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Rogers reported Total Liabilities of $234.2 million, up 2.0% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $229.5 million in FY2024 (-11.1%), $258.2 million in FY2023 (-45.5%), $473.7 million in FY2022 (-1.3%) and $479.7 million in FY2021 (+97.2%).
- Quarterly Total Liabilities has ranged from $226.3 million in Q2 2024 to $535.94 million in Q3 2022 over the past five years.
- On a year-over-year basis, Total Liabilities rose in four of the last eight quarters, with an average decline of 2.6%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 122.0% in Q2 2022, against a decline of 47.3% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $233.8 million (Q1 2026), $234.2 million (Q4 2025) and $243.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn | 47.09 Bn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn | 19.84 Bn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn | 22.98 Bn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn | 23.85 Bn |
| 5 | LyondellBasell Industries | 38.36 Bn | 26.43 Bn | 1.50 Bn | 23.49 Bn |
| 6 | Nutrien | 34.35 Bn | 30.38 Bn | - | 26.94 Bn |
| 7 | Ppg Industries | 27.44 Bn | 20.36 Bn | 1.76 Bn | 13.95 Bn |
| 8 | Qnity Electronics | 26.06 Bn | 22.20 Bn | 743.00 Mn | 6.83 Bn |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn | 3.43 Bn |
| 10 | Rogers | 2.31 Bn | 1.47 Bn | 80.70 Mn | 237.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 237.70 Mn |
| Jun 30, 2026 | 241.70 Mn |
| Mar 31, 2026 | 233.80 Mn |
| Dec 31, 2025 | 234.20 Mn |
| Sep 30, 2025 | 243.30 Mn |
| Jun 30, 2025 | 244.60 Mn |
| Mar 31, 2025 | 240.10 Mn |
| Dec 31, 2024 | 229.50 Mn |
| Sep 30, 2024 | 239.30 Mn |
| Jun 30, 2024 | 226.30 Mn |
| Mar 31, 2024 | 228.20 Mn |
| Dec 31, 2023 | 258.20 Mn |
| Sep 30, 2023 | 310.27 Mn |
| Jun 30, 2023 | 362.78 Mn |
| Mar 31, 2023 | 433.23 Mn |
| Dec 31, 2022 | 473.70 Mn |
| Sep 30, 2022 | 535.94 Mn |
| Jun 30, 2022 | 525.70 Mn |
| Mar 31, 2022 | 475.78 Mn |
| Dec 31, 2021 | 479.70 Mn |
API Access
Rogers Total Liabilities 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=total-liabilities&ticker=ROG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();