Goldenwell Biotech (GWLL) Return on Sales [ROS] (2021 - 2026)
Goldenwell Biotech (GWLL) posted Return on Sales [ROS] of -208729.09% for Q2 2026, down 11956.36 percentage points from the prior quarter.
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Analysis
Goldenwell Biotech (GWLL) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
For FY2025, Goldenwell Biotech's Return on Sales [ROS] came in at -206047.27%, down 117487.56 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for four consecutive years, with a four-year change of -205306.58 percentage points (FY2021 to FY2025).
- In prior years, Goldenwell Biotech's Return on Sales [ROS] was -88559.71% in FY2024 (-82251.11 pp), -6308.61% in FY2023 (-4247.72 pp), -2060.89% in FY2022 (-1320.19 pp) and -740.70% in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] in data going back to Q2 2021.
- On a year-over-year basis, Return on Sales [ROS] increased in 1 of the last five quarters, with an average year-over-year change of -49775.80 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2025, with a gain of 46928.84 percentage points; the weakest was Q1 2026, with a drop of 102835.32 percentage points.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 18.63% |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 18.95% |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | -1.08% |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 17.67% |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | 15.11% |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 18.07% |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 24.33% |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 21.37% |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 14.62% |
| 10 | Goldenwell Biotech | 68.31 Mn | 68.21 Mn | - | -208,729.09% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -208,729.09% |
| Mar 31, 2026 | -196,772.73% |
| Dec 31, 2025 | -41,627.27% |
| Mar 31, 2025 | -93,937.41% |
| Dec 31, 2024 | -88,556.12% |
| Sep 30, 2024 | -29,709.27% |
| Jun 30, 2024 | -34,402.88% |
| Mar 31, 2024 | -12,227.12% |
| Dec 31, 2023 | -7,999.62% |
| Sep 30, 2023 | -9,268.59% |
| Jun 30, 2023 | -9,813.04% |
| Mar 31, 2023 | -2,363.29% |
| Dec 31, 2022 | -2,060.88% |
| Sep 30, 2022 | -10.49% |
| Jun 30, 2022 | -721.79% |
| Mar 31, 2022 | -8,409.82% |
| Dec 31, 2021 | -2,043.06% |
| Sep 30, 2021 | -729.19% |
| Jun 30, 2021 | 2,261.30% |
API Access
Goldenwell Biotech 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=GWLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GWLL", "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=GWLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();