Arq (ARQ) Total Non-Current Liabilities (2012 - 2026)
Arq (ARQ) reported Total Non-Current Liabilities of $54.18 million for Q2 2026, up 0.3% from $54.04 million a year earlier and up 1.9% from the prior quarter.
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Analysis
Arq (ARQ) Total Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Arq posted Total Non-Current Liabilities of $50.75 million, down 3.7% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 34.3% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $52.69 million in FY2024 (+3.4%), $50.94 million in FY2023 (+56.0%) and $32.65 million in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q1 2023.
- Year over year, Total Non-Current Liabilities gained in seven of the last eight quarters, with growth averaging 8.8%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2023 (growth of 171.7%); the low point was Q1 2022 (a decline of 44.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $53.17 million (Q1 2026), $50.75 million (Q4 2025) and $48.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.66 Bn | 217.23 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 106.25 Bn | 98.82 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 84.09 Bn | 83.13 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 68.41 Bn | 63.59 Bn | 1.04 Bn | 19.27 Bn |
| 5 | LyondellBasell Industries | 42.05 Bn | 31.56 Bn | 2.04 Bn | 22.10 Bn |
| 6 | Nutrien | 33.48 Bn | 30.31 Bn | 3.25 Bn | 27.37 Bn |
| 7 | Ppg Industries | 25.14 Bn | 17.79 Bn | 1.81 Bn | 13.30 Bn |
| 8 | International Flavors & Fragrances | 23.79 Bn | 21.45 Bn | 853.00 Mn | 6.74 Bn |
| 9 | Qnity Electronics | 22.94 Bn | 20.08 Bn | 666.00 Mn | 5.75 Bn |
| 10 | Arq | 74.94 Mn | 55.76 Mn | 11.51 Mn | 54.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.18 Mn |
| Mar 31, 2026 | 53.17 Mn |
| Dec 31, 2025 | 50.75 Mn |
| Sep 30, 2025 | 48.62 Mn |
| Jun 30, 2025 | 54.04 Mn |
| Mar 31, 2025 | 50.96 Mn |
| Dec 31, 2024 | 52.69 Mn |
| Sep 30, 2024 | 47.82 Mn |
| Jun 30, 2024 | 44.59 Mn |
| Mar 31, 2024 | 40.09 Mn |
| Dec 31, 2023 | 50.94 Mn |
| Sep 30, 2023 | 41.20 Mn |
| Jun 30, 2023 | 43.76 Mn |
| Mar 31, 2023 | 59.09 Mn |
| Dec 31, 2022 | 32.65 Mn |
| Sep 30, 2022 | 28.93 Mn |
| Jun 30, 2022 | 24.59 Mn |
| Mar 31, 2022 | 21.75 Mn |
| Dec 31, 2021 | 28.18 Mn |
| Sep 30, 2021 | 27.93 Mn |
API Access
Arq 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=ARQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ARQ", "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=ARQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();