Rogers (ROG) Total Non-Current Liabilities (2010 - 2026)
Rogers (ROG) recorded Total Non-Current Liabilities of $227.1 million in Q2 2026, down 0.5% from $228.3 million a year earlier but up 3.7% from the prior quarter.
Rogers (ROG) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Rogers reported Total Non-Current Liabilities of $218.4 million, down 0.7% from FY2024.
- Annual Total Non-Current Liabilities has declined for three straight years, with a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $219.9 million in FY2024 (-11.3%), $247.9 million in FY2023 (-46.3%), $461.9 million in FY2022 (+1.1%) and $456.88 million in FY2021 (+101.4%).
- Quarterly Total Non-Current Liabilities has ranged from $216.5 million in Q2 2024 to $522.19 million in Q3 2022 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined for four consecutive quarters, with an average decline of 3.6% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 132.9% 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 $219.1 million (Q1 2026), $218.4 million (Q4 2025) and $226.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 19.27 Bn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | 22.10 Bn |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | 27.37 Bn |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 3.41 Bn |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | 5.75 Bn |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | 13.30 Bn |
| 10 | Rogers | 2.45 Bn | 1.68 Bn | 70.40 Mn | 222.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 222.00 Mn |
| Mar 31, 2026 | 214.10 Mn |
| Dec 31, 2025 | 213.60 Mn |
| Sep 30, 2025 | 219.40 Mn |
| Jun 30, 2025 | 222.30 Mn |
| Mar 31, 2025 | 218.00 Mn |
| Dec 31, 2024 | 214.20 Mn |
| Sep 30, 2024 | 223.10 Mn |
| Jun 30, 2024 | 209.00 Mn |
| Mar 31, 2024 | 210.80 Mn |
| Dec 31, 2023 | 240.70 Mn |
| Sep 30, 2023 | 282.37 Mn |
| Jun 30, 2023 | 335.76 Mn |
| Mar 31, 2023 | 404.32 Mn |
| Dec 31, 2022 | 451.90 Mn |
| Sep 30, 2022 | 514.18 Mn |
| Jun 30, 2022 | 503.02 Mn |
| Mar 31, 2022 | 444.79 Mn |
| Dec 31, 2021 | 449.75 Mn |
| Sep 30, 2021 | 217.03 Mn |
Rogers Total Non-Current 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-non-current-liabilities&ticker=ROG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=ROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();