Arq (ARQ) Total Current Liabilities (2012 - 2026)
Arq (ARQ) posted Total Current Liabilities of $42.49 million for Q3 2026, up 6.7% from $39.82 million a year earlier but down 7.6% from the prior quarter.
Arq (ARQ) Total Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Arq's Total Current Liabilities came in at $42.3 million, down 5.3% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- In prior years, Arq's Total Current Liabilities was $44.65 million in FY2024 (+93.7%), $23.05 million in FY2023 (-3.5%), $23.88 million in FY2022 (+5.6%) and $22.62 million in FY2021 (-46.8%).
- Quarterly Total Current Liabilities has run from a low of $18.8 million in Q1 2022 to a high of $46.17 million in Q2 2025 over five years.
- On a year-over-year basis, Total Current Liabilities increased in six of the last eight quarters, with growth averaging 37.6%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2025, with growth of 95.6%; the weakest was Q4 2021, with a decline of 46.8%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $45.99 million (Q2 2026), $45.08 million (Q1 2026) and $42.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn | 15.64 Bn |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn | 6.59 Bn |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn | 9.85 Bn |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - | 4.71 Bn |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn | 6.79 Bn |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn | - |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn | 5.22 Bn |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn | 1.54 Bn |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn | 1.10 Bn |
| 10 | Arq | 130.31 Mn | 110.40 Mn | 15.17 Mn | 42.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 42.49 Mn |
| Jun 30, 2026 | 45.99 Mn |
| Mar 31, 2026 | 45.08 Mn |
| Dec 31, 2025 | 42.30 Mn |
| Sep 30, 2025 | 39.82 Mn |
| Jun 30, 2025 | 46.17 Mn |
| Mar 31, 2025 | 42.97 Mn |
| Dec 31, 2024 | 44.65 Mn |
| Sep 30, 2024 | 30.19 Mn |
| Jun 30, 2024 | 26.61 Mn |
| Mar 31, 2024 | 21.97 Mn |
| Dec 31, 2023 | 23.05 Mn |
| Sep 30, 2023 | 22.02 Mn |
| Jun 30, 2023 | 23.93 Mn |
| Mar 31, 2023 | 20.04 Mn |
| Dec 31, 2022 | 23.88 Mn |
| Sep 30, 2022 | 25.20 Mn |
| Jun 30, 2022 | 20.59 Mn |
| Mar 31, 2022 | 18.80 Mn |
| Dec 31, 2021 | 22.62 Mn |
Arq Total 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-current-liabilities&ticker=ARQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=ARQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();