DSwiss (DQWS) Enterprise Value (2017 - 2026)
DSwiss (DQWS) posted Enterprise Value of $8.28 million for Q2 2026, down 40.5% from $13.9 million a year earlier and down 55.0% from the prior quarter.
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Analysis
DSwiss (DQWS) Enterprise Value (2017 - 2026) Analysis & Trends
For FY2025, DSwiss' Enterprise Value came in at $7.99 million, up 113.6% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of -69.4% (FY2020 to FY2025).
- In prior years, DSwiss' Enterprise Value was $3.74 million in FY2024 (-37.2%), $5.96 million in FY2023 (-70.9%), $20.49 million in FY2022 (+0.2%) and $20.46 million in FY2021 (-99.3%).
- Quarterly Enterprise Value has run from a low of $1.6 million in Q3 2024 to a high of $1.14 billion in Q3 2021 over five years.
- On a year-over-year basis, Enterprise Value increased in five of the last eight quarters, with growth averaging 131.0%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q2 2025, with growth of 763.1%; the weakest was Q4 2021, with a decline of 99.3%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $18.4 million (Q1 2026), $7.99 million (Q4 2025) and $5.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn |
| 10 | DSwiss | 16.55 Mn | 16.55 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.28 Mn |
| Mar 31, 2026 | 18.40 Mn |
| Dec 31, 2025 | 7.99 Mn |
| Sep 30, 2025 | 5.84 Mn |
| Jun 30, 2025 | 13.90 Mn |
| Mar 31, 2025 | 16.25 Mn |
| Dec 31, 2024 | 3.74 Mn |
| Sep 30, 2024 | 1.60 Mn |
| Jun 30, 2024 | 1.61 Mn |
| Mar 31, 2024 | 10.04 Mn |
| Dec 31, 2023 | 5.96 Mn |
| Sep 30, 2023 | 20.40 Mn |
| Jun 30, 2023 | 20.58 Mn |
| Mar 31, 2023 | 20.54 Mn |
| Dec 31, 2022 | 20.49 Mn |
| Sep 30, 2022 | 59.80 Mn |
| Jun 30, 2022 | 59.76 Mn |
| Mar 31, 2022 | 41.16 Mn |
| Dec 31, 2021 | 20.46 Mn |
| Sep 30, 2021 | 1.14 Bn |
API Access
DSwiss Enterprise Value 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=enterprise-value&ticker=DQWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DQWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();