PureCycle Technologies (PCT) Return on Sales [ROS] (2024 - 2026)
PureCycle Technologies (PCT) posted Return on Sales [ROS] of -916.09% for Q2 2026, up 1847.42 percentage points from -2763.52% a year earlier and up 96.63 percentage points from the prior quarter.
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Analysis
PureCycle Technologies (PCT) Return on Sales [ROS] (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at PureCycle Technologies was -1316.81%, up 3320.87 percentage points year-over-year; for FY2025, it was -2171.59%.
- Annual Return on Sales [ROS] shows a three-year change of +949.73 percentage points (FY2022 to FY2025).
- In prior years, PureCycle Technologies' Return on Sales [ROS] was -3121.32% in FY2022.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -1012.72% (Q1 2026), -2196.07% (Q4 2025) and -1602.18% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn | 22.86% |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn | 18.76% |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn | 17.61% |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - | - |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn | 12.55% |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn | 28.07% |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn | 14.89% |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn | 28.15% |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn | 19.10% |
| 10 | PureCycle Technologies | 428.13 Mn | -314.46 Mn | -28.41 Mn | -1,594.68% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1,594.68% |
| Jun 30, 2026 | -916.09% |
| Mar 31, 2026 | -1,012.72% |
| Dec 31, 2025 | -2,196.07% |
| Sep 30, 2025 | -1,602.18% |
| Jun 30, 2025 | -2,763.52% |
| Mar 31, 2025 | -2,387.41% |
| Mar 31, 2024 | -13,169.24% |
API Access
PureCycle Technologies 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=PCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PCT", "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=PCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();