Arq (ARQ) Cost of Revenue (2012 - 2026)
Arq's Cost of Revenue was $23.04 million in Q3 2026, down 7.7% from $24.97 million a year earlier but up 25.4% from the prior quarter.
Arq (ARQ) Cost of Revenue (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Arq's Cost of Revenue was $85.97 million through Sep 30, 2026, up 9.4% year-over-year; for FY2025, it was $86.8 million, up 24.9% from FY2024.
- Cost of Revenue shows a three-year compound annual growth rate of 2.6% (FY2022 to FY2025).
- In earlier years, Cost of Revenue was $69.52 million in FY2024 (+3.3%), $67.32 million in FY2023 (-16.3%) and $80.47 million in FY2022.
- Quarterly Cost of Revenue has moved between $13.71 million (Q1 2024) and $25.44 million (Q4 2025) over five years.
- Compared with a year earlier, Cost of Revenue was higher in six of the last eight quarters, with growth averaging 15.3%.
- The best year-over-year quarter for Cost of Revenue over five years was Q1 2022 (growth of 53.8%); the worst was Q2 2023 (a decline of 23.0%).
- Per Business Quant data, ARQ's Cost of Revenue in the three quarters before Q3 2026 was $18.37 million (Q2 2026), $19.11 million (Q1 2026) and $25.44 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn | 4.96 Bn |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn | 3.05 Bn |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn | 3.58 Bn |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - | 2.47 Bn |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn | 7.00 Bn |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn | 3.95 Bn |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn | 2.59 Bn |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn | 813.00 Mn |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn | 1.04 Bn |
| 10 | Arq | 130.31 Mn | 110.40 Mn | 15.17 Mn | 23.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 23.04 Mn |
| Jun 30, 2026 | 18.37 Mn |
| Mar 31, 2026 | 19.11 Mn |
| Dec 31, 2025 | 25.44 Mn |
| Sep 30, 2025 | 24.97 Mn |
| Jun 30, 2025 | 19.07 Mn |
| Mar 31, 2025 | 17.33 Mn |
| Dec 31, 2024 | 17.24 Mn |
| Sep 30, 2024 | 21.34 Mn |
| Jun 30, 2024 | 17.23 Mn |
| Mar 31, 2024 | 13.71 Mn |
| Dec 31, 2023 | 14.11 Mn |
| Sep 30, 2023 | 20.71 Mn |
| Jun 30, 2023 | 15.34 Mn |
| Mar 31, 2023 | 17.18 Mn |
| Dec 31, 2022 | 17.47 Mn |
| Sep 30, 2022 | 21.58 Mn |
| Jun 30, 2022 | 19.91 Mn |
| Mar 31, 2022 | 21.51 Mn |
| Dec 31, 2021 | 16.90 Mn |
Arq Cost of Revenue 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=cost-of-revenue&ticker=ARQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ARQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();