DSwiss (DQWS) Operating Expenses (2015 - 2026)
DSwiss (DQWS) reported Operating Expenses of $16,076 for Q2 2026, down 89.3% from $150,450 a year earlier and down 89.2% from the prior quarter.
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Analysis
DSwiss (DQWS) Operating Expenses (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, DSwiss' Operating Expenses came in at $552,236, down 17.8% year-over-year; for FY2025, it was $650,110, up 7.7% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 251.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $603,720 in FY2024 (+47.0%), $410,746 in FY2023 (-7.6%), $444,722 in FY2022 (+25.9%) and $353,172 in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q2 2021.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 21.8%.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 317.6%); the low point was Q2 2026 (a decline of 89.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $148,374 (Q1 2026), $241,568 (Q4 2025) and $146,218 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 367.98 Bn | 323.73 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 74.90 Bn | 69.63 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 37.68 Bn | 25.76 Bn | 2.74 Bn | 2.78 Bn |
| 4 | Kenvue | 36.70 Bn | 32.31 Bn | 2.30 Bn | 1.60 Bn |
| 5 | Kimberly Clark | 35.60 Bn | 32.80 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 24.88 Bn | 23.41 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 10.34 Bn | 8.62 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.70 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.78 Bn | 4.44 Bn | 245.00 Mn | 107.00 Mn |
| 10 | DSwiss | 16.55 Mn | 16.55 Mn | - | 16,076.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16,076.00 |
| Mar 31, 2026 | 148,374.00 |
| Dec 31, 2025 | 241,568.00 |
| Sep 30, 2025 | 146,218.00 |
| Jun 30, 2025 | 150,450.00 |
| Mar 31, 2025 | 121,144.00 |
| Dec 31, 2024 | 234,476.00 |
| Sep 30, 2024 | 166,073.00 |
| Jun 30, 2024 | 109,628.00 |
| Mar 31, 2024 | 93,543.00 |
| Dec 31, 2023 | 108,137.00 |
| Sep 30, 2023 | 99,905.00 |
| Jun 30, 2023 | 103,929.00 |
| Mar 31, 2023 | 98,775.00 |
| Dec 31, 2022 | 161,188.00 |
| Sep 30, 2022 | 107,838.00 |
| Jun 30, 2022 | 94,466.00 |
| Mar 31, 2022 | 83,212.00 |
| Dec 31, 2021 | 126,270.00 |
| Sep 30, 2021 | 81,551.00 |
API Access
DSwiss Operating Expenses 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=operating-expenses&ticker=DQWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DQWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();