Arq (ARQ) Return on Capital Employed [ROCE] (2013 - 2026)
Arq (ARQ) posted Return on Capital Employed [ROCE] of -25.40% for Q3 2026, down 24.66 percentage points from -0.74% a year earlier but up 2.81 percentage points from the prior quarter.
Arq (ARQ) Return on Capital Employed [ROCE] (2013 - 2026) Analysis & Trends
For FY2025, Arq's Return on Capital Employed [ROCE] came in at -24.59%, down 23.68 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +10.23 percentage points (FY2020 to FY2025).
- In prior years, Arq's Return on Capital Employed [ROCE] was -0.91% in FY2024 (+6.29 pp), -7.20% in FY2023 (+0.37 pp), -7.57% in FY2022 (-10.95 pp) and 3.38% in FY2021 (+38.20 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of -29.15% in Q1 2026 to a high of 3.01% in Q4 2021 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last five quarters, with an average year-over-year change of -11.97 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q4 2021, with a gain of 40.74 percentage points; the weakest was Q1 2026, with a drop of 29.85 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -28.21% (Q2 2026), -29.15% (Q1 2026) and -24.85% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn | 12.62% |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn | 10.83% |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn | 23.55% |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - | - |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn | 9.92% |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn | - |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn | 12.90% |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn | 11.12% |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn | 18.14% |
| 10 | Arq | 130.31 Mn | 110.40 Mn | 15.17 Mn | -25.40% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -25.40% |
| Jun 30, 2026 | -28.21% |
| Mar 31, 2026 | -29.15% |
| Dec 31, 2025 | -24.85% |
| Sep 30, 2025 | -0.74% |
| Jun 30, 2025 | 0.55% |
| Mar 31, 2025 | 0.70% |
| Dec 31, 2024 | -0.82% |
| Sep 30, 2024 | 0.31% |
| Jun 30, 2024 | -1.80% |
| Mar 31, 2024 | -4.03% |
| Dec 31, 2023 | -6.35% |
| Sep 30, 2023 | -9.43% |
| Jun 30, 2023 | -9.49% |
| Mar 31, 2023 | -8.83% |
| Dec 31, 2022 | -7.57% |
| Sep 30, 2022 | -4.96% |
| Jun 30, 2022 | -1.23% |
| Mar 31, 2022 | 0.72% |
| Dec 31, 2021 | 3.01% |
Arq Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=ARQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=ARQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();