DSwiss (DQWS) Selling, General & Administrative (2015 - 2026)
DSwiss (DQWS) reported Selling, General & Administrative of $2,225 for Q2 2026, down 98.4% from $135,499 a year earlier and down 98.4% from the prior quarter.
DSwiss (DQWS) Selling, General & Administrative (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, DSwiss' Selling, General & Administrative came in at $519,901, down 20.7% year-over-year; for FY2025, it came in at $630,645, up 4.5% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 17.0% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $603,720 in FY2024 (+64.2%), $367,647 in FY2023 (-8.6%), $402,412 in FY2022 (+30.4%) and $308,686 in FY2021 (+7.2%).
- The Q2 2026 figure ranks as the lowest quarterly Selling, General & Administrative since Q4 2019.
- Year over year, Selling, General & Administrative gained in six of the last eight quarters, with growth averaging 22.9%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2024 (growth of 140.8%); the low point was Q2 2026 (a decline of 98.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $141,855 (Q1 2026), $235,464 (Q4 2025) and $140,357 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | 2.48 Bn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 1.54 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 298.00 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 107.00 Mn |
| 10 | DSwiss | 16.55 Mn | 16.55 Mn | - | 2,225.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2,225.00 |
| Mar 31, 2026 | 141,855.00 |
| Dec 31, 2025 | 235,464.00 |
| Sep 30, 2025 | 140,357.00 |
| Jun 30, 2025 | 135,499.00 |
| Mar 31, 2025 | 119,325.00 |
| 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 | 97,387.00 |
| Sep 30, 2023 | 89,202.00 |
| Jun 30, 2023 | 93,259.00 |
| Mar 31, 2023 | 87,799.00 |
| Dec 31, 2022 | 150,696.00 |
| Sep 30, 2022 | 97,457.00 |
| Jun 30, 2022 | 83,902.00 |
| Mar 31, 2022 | 72,339.00 |
| Dec 31, 2021 | 114,191.00 |
| Sep 30, 2021 | 70,361.00 |
DSwiss Selling, General & Administrative 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=selling-general-and-administrative&ticker=DQWS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DQWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();