Olenox Industries (OLOX) Cost of Revenue (2011 - 2026)
Olenox Industries (OLOX) reported Cost of Revenue of $1.87 million for Q2 2026, up 9.0% from $1.72 million a year earlier and up 284.8% from the prior quarter.
Olenox Industries (OLOX) Cost of Revenue (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Olenox Industries' Cost of Revenue came in at $6.99 million, up 14.9% year-over-year; for FY2025, it was $7.24 million, up 38.7% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $5.22 million in FY2024 (-72.6%), $19.08 million in FY2023 (-9.7%), $21.14 million in FY2022 (-41.3%) and $36.01 million in FY2021 (+451.0%).
- Five-year quarterly Cost of Revenue spans a low of $486,146 in Q1 2026 and a high of $9.45 million in Q3 2021.
- Year over year, Cost of Revenue gained in four of the last eight quarters, with growth averaging 2.2%.
- The high point for year-over-year Cost of Revenue in five years was Q4 2025 (growth of 104.5%); the low point was Q1 2024 (a decline of 88.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $486,146 (Q1 2026), $3.28 million (Q4 2025) and $1.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.75 Bn | 97.47 Bn | 2.26 Bn | 4.09 Bn |
| 2 | Johnson Controls International | 90.01 Bn | 87.74 Bn | 2.47 Bn | 4.14 Bn |
| 3 | Comfort Systems Usa | 51.61 Bn | 46.86 Bn | 844.23 Mn | 2.42 Bn |
| 4 | Carrier Global | 45.80 Bn | 40.11 Bn | 1.94 Bn | 4.41 Bn |
| 5 | Otis Worldwide | 27.26 Bn | 23.68 Bn | 1.14 Bn | 2.72 Bn |
| 6 | James Hardie Industries | 14.86 Bn | 13.93 Bn | 548.70 Mn | 925.90 Mn |
| 7 | Masco | 14.53 Bn | 12.38 Bn | 868.00 Mn | 1.12 Bn |
| 8 | Allegion | 13.32 Bn | 12.03 Bn | 517.50 Mn | 634.00 Mn |
| 9 | Carlisle Companies | 13.28 Bn | 9.63 Bn | 568.40 Mn | 1.00 Bn |
| 10 | Olenox Industries | 756,174.02 | -3.94 Mn | 247,523.00 | 1.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.87 Mn |
| Mar 31, 2026 | 486,146.00 |
| Dec 31, 2025 | 3.28 Mn |
| Sep 30, 2025 | 1.36 Mn |
| Jun 30, 2025 | 1.72 Mn |
| Mar 31, 2025 | 890,109.00 |
| Dec 31, 2024 | 1.60 Mn |
| Sep 30, 2024 | 1.88 Mn |
| Jun 30, 2024 | 1.09 Mn |
| Mar 31, 2024 | 644,983.00 |
| Dec 31, 2023 | 3.94 Mn |
| Sep 30, 2023 | 4.50 Mn |
| Jun 30, 2023 | 5.06 Mn |
| Mar 31, 2023 | 5.57 Mn |
| Dec 31, 2022 | 3.94 Mn |
| Sep 30, 2022 | 4.30 Mn |
| Jun 30, 2022 | 6.78 Mn |
| Mar 31, 2022 | 6.12 Mn |
| Dec 31, 2021 | 8.21 Mn |
| Sep 30, 2021 | 9.45 Mn |
Olenox Industries 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=OLOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=OLOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();