Olenox Industries (OLOX) Return on Capital Employed [ROCE] (2012 - 2026)
Olenox Industries' Return on Capital Employed [ROCE] was -61.06% in Q2 2026, down 14.28 percentage points from -46.78% a year earlier but up 75.53 percentage points from the prior quarter.
Olenox Industries (OLOX) Return on Capital Employed [ROCE] (2012 - 2026) Analysis & Trends
For FY2023, Return on Capital Employed [ROCE] at Olenox Industries came in at -1630.32%, down 1598.06 percentage points from FY2022.
- Return on Capital Employed [ROCE] shows a five-year change of -1577.84 percentage points (FY2018 to FY2023).
- In earlier years, Return on Capital Employed [ROCE] was -32.26% in FY2022 (-1.29 pp), -30.97% in FY2021 (+17.15 pp), -48.12% in FY2020 (+54.04 pp) and -102.16% in FY2019 (-49.68 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between -3175.49% (Q4 2023) and -18.90% (Q1 2022) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in two of the last four quarters, with an average year-over-year change of +43.05 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2025 (a gain of 774.40 percentage points); the worst was Q4 2023 (a drop of 3138.28 percentage points).
- Per Business Quant data, OLOX's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -136.59% (Q1 2026), -73.03% (Q4 2025) and -42.54% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 97.89 Bn | 92.63 Bn | 2.26 Bn | 26.65% |
| 2 | Johnson Controls International | 87.19 Bn | 84.95 Bn | 2.47 Bn | 10.95% |
| 3 | Carrier Global | 46.36 Bn | 40.99 Bn | 1.94 Bn | 6.15% |
| 4 | Comfort Systems Usa | 40.59 Bn | 34.55 Bn | 934.48 Mn | 30.59% |
| 5 | Otis Worldwide | 28.61 Bn | 25.21 Bn | 1.14 Bn | 87.23% |
| 6 | Allegion | 15.24 Bn | 13.95 Bn | 517.50 Mn | 19.60% |
| 7 | James Hardie Industries | 15.18 Bn | 14.25 Bn | 548.70 Mn | 4.22% |
| 8 | Masco | 14.99 Bn | 13.10 Bn | 868.00 Mn | 36.39% |
| 9 | Carlisle Companies | 13.74 Bn | 10.09 Bn | 568.40 Mn | 19.44% |
| 10 | Olenox Industries | 958,237.06 | -3.73 Mn | 247,523.00 | -61.06% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -61.06% |
| Mar 31, 2026 | -136.59% |
| Dec 31, 2025 | -73.03% |
| Sep 30, 2025 | -42.54% |
| Jun 30, 2025 | -46.78% |
| Mar 31, 2025 | -227.44% |
| Sep 30, 2024 | -816.94% |
| Dec 31, 2023 | -3,175.49% |
| Sep 30, 2023 | -138.15% |
| Jun 30, 2023 | -116.46% |
| Mar 31, 2023 | -73.03% |
| Dec 31, 2022 | -37.21% |
| Sep 30, 2022 | -24.48% |
| Jun 30, 2022 | -22.05% |
| Mar 31, 2022 | -18.90% |
| Dec 31, 2021 | -32.63% |
| Sep 30, 2021 | -36.80% |
| Jun 30, 2021 | -21.72% |
| Mar 31, 2021 | -25.94% |
| Dec 31, 2020 | -23.66% |
Olenox Industries 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=OLOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "OLOX", "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=OLOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();