DSwiss (DQWS) Total Liabilities (2015 - 2026)
DSwiss (DQWS) posted Total Liabilities of $693,393 for Q1 2026, up 8.0% from $642,064 a year earlier and up 1.0% from the prior quarter.
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Analysis
DSwiss (DQWS) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, DSwiss' Total Liabilities came in at $686,482, up 22.2% from FY2024.
- Annual Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- In prior years, DSwiss' Total Liabilities was $561,794 in FY2024 (+80.6%), $311,078 in FY2023 (+9.6%), $283,773 in FY2022 (-33.1%) and $424,302 in FY2021 (+2.5%).
- Quarterly Total Liabilities has run from a low of $203,454 in Q3 2022 to a high of $701,647 in Q2 2025 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last eight quarters, with growth averaging 70.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2025, with growth of 209.8%; the weakest was Q3 2022, with a decline of 53.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $686,482 (Q4 2025), $652,155 (Q3 2025) and $701,647 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 72.21 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 16.22 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 15.96 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 16.18 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 16.68 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 4.76 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 7.54 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 1.29 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 2.77 Bn |
| 10 | DSwiss | 16.55 Mn | 16.55 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 693,393.00 |
| Dec 31, 2025 | 686,482.00 |
| Sep 30, 2025 | 652,155.00 |
| Jun 30, 2025 | 701,647.00 |
| Mar 31, 2025 | 642,064.00 |
| Dec 31, 2024 | 561,794.00 |
| Sep 30, 2024 | 618,413.00 |
| Jun 30, 2024 | 324,779.00 |
| Mar 31, 2024 | 207,239.00 |
| Dec 31, 2023 | 311,078.00 |
| Sep 30, 2023 | 322,728.00 |
| Jun 30, 2023 | 251,217.00 |
| Mar 31, 2023 | 238,320.00 |
| Dec 31, 2022 | 283,773.00 |
| Sep 30, 2022 | 203,454.00 |
| Jun 30, 2022 | 369,514.00 |
| Mar 31, 2022 | 448,411.00 |
| Dec 31, 2021 | 424,302.00 |
| Sep 30, 2021 | 434,358.00 |
| Jun 30, 2021 | 380,785.00 |
API Access
DSwiss Total Liabilities 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=total-liabilities&ticker=DQWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DQWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();