Olenox Industries (OLOX) Return on Sales [ROS] (2011 - 2026)
Olenox Industries (OLOX) reported Return on Sales [ROS] of -138.68% for Q2 2026, up 372.56 percentage points from -511.23% a year earlier and up 871.83 percentage points from the prior quarter.
Olenox Industries (OLOX) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Olenox Industries' Return on Sales [ROS] came in at -353.18%, down 48.51 percentage points year-over-year; for FY2025, it was -476.48%, down 281.43 percentage points from FY2024.
- Return on Sales [ROS] has declined for four consecutive years, with a five-year change of -424.13 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -195.04% in FY2024 (-63.42 pp), -131.63% in FY2023 (-101.99 pp), -29.64% in FY2022 (-14.03 pp) and -15.60% in FY2021 (+36.74 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q3 2024.
- Year over year, Return on Sales [ROS] gained in two of the last eight quarters, with an average year-over-year change of -174.92 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2026 (a gain of 372.56 percentage points); the low point was Q1 2026 (a drop of 687.04 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -1010.51% (Q1 2026), -984.32% (Q4 2025) and -238.57% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 98.60 Bn | 93.32 Bn | 2.26 Bn | 19.27% |
| 2 | Johnson Controls International | 87.58 Bn | 85.31 Bn | 2.47 Bn | 14.92% |
| 3 | Carrier Global | 46.25 Bn | 40.56 Bn | 1.94 Bn | 12.99% |
| 4 | Comfort Systems Usa | 40.42 Bn | 34.37 Bn | 934.48 Mn | 16.58% |
| 5 | Otis Worldwide | 28.72 Bn | 25.14 Bn | 1.14 Bn | 14.90% |
| 6 | James Hardie Industries | 15.41 Bn | 14.48 Bn | 548.70 Mn | 14.76% |
| 7 | Allegion | 15.28 Bn | 14.00 Bn | 517.50 Mn | 22.12% |
| 8 | Masco | 15.28 Bn | 13.14 Bn | 868.00 Mn | 23.59% |
| 9 | Carlisle Companies | 13.88 Bn | 10.23 Bn | 568.40 Mn | 22.45% |
| 10 | Olenox Industries | 939,905.57 | -3.75 Mn | 247,523.00 | -138.68% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -138.68% |
| Mar 31, 2026 | -1,010.51% |
| Dec 31, 2025 | -984.32% |
| Sep 30, 2025 | -238.57% |
| Jun 30, 2025 | -511.23% |
| Mar 31, 2025 | -323.47% |
| Dec 31, 2024 | -448.71% |
| Sep 30, 2024 | -127.83% |
| Jun 30, 2024 | -156.12% |
| Mar 31, 2024 | -158.10% |
| Dec 31, 2023 | -598.17% |
| Sep 30, 2023 | -60.30% |
| Jun 30, 2023 | -110.08% |
| Mar 31, 2023 | -59.23% |
| Dec 31, 2022 | -93.05% |
| Sep 30, 2022 | -60.58% |
| Jun 30, 2022 | -17.58% |
| Mar 31, 2022 | 4.87% |
| Dec 31, 2021 | -25.68% |
| Sep 30, 2021 | -30.82% |
Olenox Industries Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=OLOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=OLOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();