DSwiss (DQWS) Depreciation and Depletion (2015 - 2026)
DSwiss (DQWS) posted Depreciation and Depletion of $13,851 for Q2 2026, up 49.4% from $9,270 a year earlier but down 1.1% from the prior quarter.
DSwiss (DQWS) Depreciation and Depletion (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at DSwiss was $54,002, up 88.4% year-over-year; for FY2025, it was $44,389, up 152.8% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- In prior years, DSwiss' Depreciation and Depletion was $17,558 in FY2024 (-19.6%), $21,833 in FY2023 (-27.5%), $30,131 in FY2022 (+60.8%) and $18,734 in FY2021 (+0.4%).
- Quarterly Depreciation and Depletion has run from a low of $3,419 in Q2 2024 to a high of $18,302 in Q3 2022 over five years.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last seven quarters, with growth averaging 107.6% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q3 2022, with growth of 288.2%; the weakest was Q3 2023, with a decline of 78.5%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $14,008 (Q1 2026), $13,364 (Q4 2025) and $12,779 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | - |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | - |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | - |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 79.00 Mn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 22.00 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 10.70 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | - |
| 10 | DSwiss | 16.55 Mn | 16.55 Mn | - | 13,851.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13,851.00 |
| Mar 31, 2026 | 14,008.00 |
| Dec 31, 2025 | 13,364.00 |
| Sep 30, 2025 | 12,779.00 |
| Jun 30, 2025 | 9,270.00 |
| Mar 31, 2025 | 8,684.00 |
| Dec 31, 2024 | 6,967.00 |
| Sep 30, 2024 | 3,735.00 |
| Jun 30, 2024 | 3,419.00 |
| Mar 31, 2024 | 3,437.00 |
| Dec 31, 2023 | 3,531.00 |
| Sep 30, 2023 | 3,926.00 |
| Jun 30, 2023 | 6,839.00 |
| Mar 31, 2023 | 7,537.00 |
| Dec 31, 2022 | 7,275.00 |
| Sep 30, 2022 | 18,302.00 |
| Jun 30, 2022 | 8,191.00 |
| Mar 31, 2022 | 7,501.00 |
| Dec 31, 2021 | 4,634.00 |
| Sep 30, 2021 | 4,715.00 |
DSwiss Depreciation and Depletion 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=depreciation-and-depletion&ticker=DQWS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=DQWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();