Rogers (ROG) Long-Term Debt Repayments (2011 - 2026)
Rogers' Long-Term Debt Repayments was $600,000 in Q2 2026, up 50.0% from $400,000 a year earlier and up 100.0% from the prior quarter.
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Analysis
Rogers (ROG) Long-Term Debt Repayments (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rogers' Long-Term Debt Repayments was $1.4 million through Jun 30, 2026, up 40.0% year-over-year; for FY2025, it was $1.3 million, down 95.7% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -65.0% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $30.4 million in FY2024 (-83.6%), $185.4 million in FY2023 (+146.2%), $75.3 million in FY2022 (+154.4%) and $29.6 million in FY2021 (-88.1%).
- The Q2 2026 figure marks the highest quarterly Long-Term Debt Repayments since Q1 2024.
- Compared with a year earlier, Long-Term Debt Repayments was higher in three of the last eight quarters, with growth averaging 40.8%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q3 2025 (growth of 300.0%); the worst was Q3 2021 (a decline of 100.0%).
- Per Business Quant data, ROG's Long-Term Debt Repayments in the three quarters before Q2 2026 was $300,000 (Q1 2026), $100,000 (Q4 2025) and $400,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.78 Bn | 213.35 Bn | 4.43 Bn | 26.00 Mn |
| 2 | Corning | 116.84 Bn | 109.41 Bn | 1.63 Bn | 678.00 Mn |
| 3 | Sherwin Williams | 82.01 Bn | 81.05 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 67.49 Bn | 62.68 Bn | 1.04 Bn | 74.10 Mn |
| 5 | LyondellBasell Industries | 40.48 Bn | 29.99 Bn | 2.04 Bn | - |
| 6 | Nutrien | 32.93 Bn | 29.76 Bn | 3.25 Bn | -36.00 Mn |
| 7 | Qnity Electronics | 25.29 Bn | 22.43 Bn | 666.00 Mn | 6.00 Mn |
| 8 | Ati | 24.99 Bn | 23.01 Bn | 309.80 Mn | -21.90 Mn |
| 9 | Ppg Industries | 24.45 Bn | 17.11 Bn | 1.81 Bn | - |
| 10 | Rogers | 2.51 Bn | 1.74 Bn | 70.40 Mn | 600,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 600,000.00 |
| Mar 31, 2026 | 300,000.00 |
| Dec 31, 2025 | 100,000.00 |
| Sep 30, 2025 | 400,000.00 |
| Jun 30, 2025 | 400,000.00 |
| Mar 31, 2025 | 400,000.00 |
| Dec 31, 2024 | 100,000.00 |
| Sep 30, 2024 | 100,000.00 |
| Jun 30, 2024 | 100,000.00 |
| Mar 31, 2024 | 30.10 Mn |
| Dec 31, 2023 | 50.10 Mn |
| Sep 30, 2023 | 50.10 Mn |
| Jun 30, 2023 | 60.10 Mn |
| Mar 31, 2023 | 25.10 Mn |
| Dec 31, 2022 | 75.10 Mn |
| Sep 30, 2022 | 59,000.00 |
| Jun 30, 2022 | -3,000.00 |
| Mar 31, 2022 | 146,000.00 |
| Dec 31, 2021 | -55,000.00 |
| Sep 30, 2021 | 3,000.00 |
API Access
Rogers Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ROG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();