Cibus (CBUS) Return on Sales [ROS] (2016 - 2026)
Cibus' Return on Sales [ROS] was -1300.30% in Q2 2026, up 623.17 percentage points from -1923.47% a year earlier.
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Analysis
Cibus (CBUS) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cibus' Return on Sales [ROS] was -1913.95% through Jun 30, 2026, up 3822.29 percentage points year-over-year; for FY2025, it was -2680.10%, up 3382.68 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -2496.33 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -6062.79% in FY2024 (+11487.19 pp), -17549.97% in FY2023 (-3301.56 pp), -14248.41% in FY2022 (-14135.54 pp) and -112.87% in FY2021 (+70.90 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q4 2021.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last seven quarters, with an average year-over-year change of +3690.00 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2024 (a gain of 22929.19 percentage points); the worst was Q1 2022 (a drop of 18808.20 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 28.51% |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 25.75% |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 17.45% |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 14.73% |
| 10 | Cibus | 130.68 Mn | 39.93 Mn | - | -1,300.30% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,300.30% |
| Dec 31, 2025 | -2,135.67% |
| Sep 30, 2025 | -2,510.24% |
| Jun 30, 2025 | -1,923.47% |
| Mar 31, 2025 | -4,020.41% |
| Dec 31, 2024 | -1,487.13% |
| Sep 30, 2024 | -12,023.82% |
| Jun 30, 2024 | -2,563.48% |
| Mar 31, 2024 | -3,385.87% |
| Dec 31, 2023 | -24,416.32% |
| Sep 30, 2023 | -5,430.95% |
| Jun 30, 2023 | -9,802.54% |
| Mar 31, 2023 | -10,626.19% |
| Dec 31, 2022 | -7,888.10% |
| Sep 30, 2022 | -14,769.05% |
| Jun 30, 2022 | -16,500.00% |
| Mar 31, 2022 | -19,028.13% |
| Dec 31, 2021 | -345.34% |
| Sep 30, 2021 | -89.63% |
| Jun 30, 2021 | -50.37% |
API Access
Cibus 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=CBUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CBUS", "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=CBUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();