Arq (ARQ) Return on Capital Employed [ROCE] (2013 - 2026)
Arq (ARQ) posted Return on Capital Employed [ROCE] of -28.47% for Q2 2026, down 29.02 percentage points from 0.55% a year earlier but up 0.94 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 -29.41% in Q1 2026 to a high of 3.86% in Q3 2021 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last four quarters, with an average year-over-year change of -7.75 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 Q3 2021, with a gain of 49.09 percentage points; the weakest was Q1 2026, with a drop of 30.11 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -29.41% (Q1 2026), -25.07% (Q4 2025) and -0.64% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 13.17% |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 9.96% |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 23.44% |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | -1.63% |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 3.55% |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 24.09% |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 10.47% |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 17.58% |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 13.38% |
| 10 | Arq | 83.20 Mn | 64.03 Mn | 11.51 Mn | -28.47% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -28.47% |
| Mar 31, 2026 | -29.41% |
| Dec 31, 2025 | -25.07% |
| Sep 30, 2025 | -0.64% |
| 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% |
| Sep 30, 2021 | 3.86% |
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();