DSwiss (DQWS) Return on Sales [ROS] (2015 - 2026)
DSwiss' Return on Sales [ROS] came in at 0.14% for Q2 2026, up 0.20 percentage points from -0.06% a year earlier and up 0.21 percentage points from the prior quarter.
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Analysis
DSwiss (DQWS) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, DSwiss reported Return on Sales [ROS] of -0.05%, down 3.50 percentage points year-over-year; for FY2025, it came in at -0.04%, unchanged from FY2024.
- Return on Sales [ROS] carries a five-year change of +0.05 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -0.04% in FY2024 (+0.05 pp), -0.09% in FY2023 (-0.02 pp), -0.07% in FY2022 (unchanged) and -0.07% in FY2021 (+0.02 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q1 2025.
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +0.02 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2025 (a gain of 14.24 percentage points), and the weakest in Q1 2022 (a drop of 40.33 percentage points).
- Business Quant data shows DQWS's Return on Sales [ROS] at -0.07% (Q1 2026), -0.05% (Q4 2025) and -0.08% (Q3 2025) in the three quarters before Q2 2026.
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 | DSwiss | 16.55 Mn | 16.55 Mn | - | 0.14% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.14% |
| Mar 31, 2026 | -0.07% |
| Dec 31, 2025 | -0.05% |
| Sep 30, 2025 | -0.08% |
| Jun 30, 2025 | -0.06% |
| Mar 31, 2025 | 14.17% |
| Dec 31, 2024 | -0.03% |
| Sep 30, 2024 | -0.03% |
| Jun 30, 2024 | -0.04% |
| Mar 31, 2024 | -0.07% |
| Dec 31, 2023 | -0.07% |
| Sep 30, 2023 | -0.06% |
| Jun 30, 2023 | -0.11% |
| Mar 31, 2023 | -0.16% |
| Dec 31, 2022 | -0.11% |
| Sep 30, 2022 | -0.06% |
| Jun 30, 2022 | -0.05% |
| Mar 31, 2022 | -0.10% |
| Dec 31, 2021 | -0.11% |
| Sep 30, 2021 | 0.00% |
API Access
DSwiss 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=DQWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "DQWS", "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=DQWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();