Arq (ARQ) Total Liabilities (2012 - 2026)
Arq (ARQ) posted Total Liabilities of $61.51 million for Q3 2026, up 2.2% from $60.16 million a year earlier but down 5.1% 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 increased in four of the last eight quarters, with growth averaging 4.7%.
- 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 Q4 2021, with a decline of 38.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $64.79 million (Q2 2026), $64.22 million (Q1 2026) and $62.62 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn | 47.09 Bn |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn | 19.84 Bn |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn | 22.98 Bn |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - | 24.06 Bn |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn | 23.49 Bn |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn | 26.93 Bn |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn | 13.95 Bn |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn | 6.83 Bn |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn | 3.43 Bn |
| 10 | Arq | 130.31 Mn | 110.40 Mn | 15.17 Mn | 61.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 61.51 Mn |
| Jun 30, 2026 | 64.79 Mn |
| Mar 31, 2026 | 64.22 Mn |
| Dec 31, 2025 | 62.62 Mn |
| Sep 30, 2025 | 60.16 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 |
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();