DSwiss (DQWS) Total Non-Current Liabilities (2017 - 2026)
DSwiss' Total Non-Current Liabilities was $221,538 in Q1 2026, up 0.4% from $220,751 a year earlier and up 0.2% from the prior quarter.
Analysis
DSwiss (DQWS) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at DSwiss came in at $221,018, up 184.2% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 46.9% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $77,777 in FY2024 (+387.2%), $15,965 in FY2023 (-58.5%), $38,461 in FY2022 (-63.5%) and $105,391 in FY2021 (+226.1%).
- Quarterly Total Non-Current Liabilities has moved between $15,510 (Q1 2024) and $238,915 (Q3 2025) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in three of the last five quarters, with growth averaging 92.7%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2024 (growth of 387.2%); the worst was Q4 2022 (a decline of 63.5%).
- Per Business Quant data, DQWS's Total Non-Current Liabilities in the three quarters before Q1 2026 was $221,018 (Q4 2025), $238,915 (Q3 2025) and $232,368 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 67.30 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 14.17 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 15.61 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 9.73 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 16.06 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 4.43 Bn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 7.14 Bn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 1.24 Bn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 2.66 Bn |
| 10 | DSwiss | 16.55 Mn | 16.55 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 221,538.00 |
| Dec 31, 2025 | 221,018.00 |
| Sep 30, 2025 | 238,915.00 |
| Jun 30, 2025 | 232,368.00 |
| Mar 31, 2025 | 220,751.00 |
| Dec 31, 2024 | 77,777.00 |
| Sep 30, 2024 | 17,762.00 |
| Jun 30, 2024 | 15,532.00 |
| Mar 31, 2024 | 15,510.00 |
| Dec 31, 2023 | 15,965.00 |
| Sep 30, 2023 | 36,170.00 |
| Jun 30, 2023 | 36,381.00 |
| Mar 31, 2023 | 38,397.00 |
| Dec 31, 2022 | 38,461.00 |
| Sep 30, 2022 | 51,416.00 |
| Jun 30, 2022 | 69,478.00 |
| Mar 31, 2022 | 88,744.00 |
| Dec 31, 2021 | 105,391.00 |
| Sep 30, 2021 | 25,775.00 |
| Jun 30, 2021 | 27,218.00 |
API Access
DSwiss Total Non-Current 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-non-current-liabilities&ticker=DQWS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=DQWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();