Arq (ARQ) Total Liabilities (2012 - 2026)
Arq (ARQ) posted Total Liabilities of $64.79 million for Q2 2026, down 3.2% from $66.91 million a year earlier but up 0.9% from the prior quarter.
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Analysis
Arq (ARQ) Total Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Arq's Total Liabilities came in at $62.62 million, down 4.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In prior years, Arq's Total Liabilities was $65.75 million in FY2024 (+15.2%), $57.1 million in FY2023 (+38.6%), $41.19 million in FY2022 (+8.0%) and $38.14 million in FY2021 (-38.0%).
- Quarterly Total Liabilities has run from a low of $37.22 million in Q1 2022 to a high of $72.74 million in Q1 2023 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last four quarters, with growth averaging 5.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2023, with growth of 95.4%; the weakest was Q3 2021, with a decline of 42.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $64.22 million (Q1 2026), $62.62 million (Q4 2025) and $60.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 47.73 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 19.83 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 23.10 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 23.85 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 16.24 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 23.80 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 27.62 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 6.79 Bn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 3.74 Bn |
| 10 | Arq | 84.92 Mn | 65.74 Mn | 11.51 Mn | 64.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.79 Mn |
| Mar 31, 2026 | 64.22 Mn |
| Dec 31, 2025 | 62.62 Mn |
| Sep 30, 2025 | 60.79 Mn |
| Jun 30, 2025 | 66.91 Mn |
| Mar 31, 2025 | 64.40 Mn |
| Dec 31, 2024 | 65.75 Mn |
| Sep 30, 2024 | 61.85 Mn |
| Jun 30, 2024 | 58.98 Mn |
| Mar 31, 2024 | 54.63 Mn |
| Dec 31, 2023 | 57.10 Mn |
| Sep 30, 2023 | 56.31 Mn |
| Jun 30, 2023 | 58.90 Mn |
| Mar 31, 2023 | 72.74 Mn |
| Dec 31, 2022 | 41.19 Mn |
| Sep 30, 2022 | 42.83 Mn |
| Jun 30, 2022 | 39.25 Mn |
| Mar 31, 2022 | 37.22 Mn |
| Dec 31, 2021 | 38.14 Mn |
| Sep 30, 2021 | 40.75 Mn |
API Access
Arq 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=ARQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ARQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();