DarkPulse (DPLS) Total Liabilities (2010 - 2026)
DarkPulse (DPLS) posted Total Liabilities of $21.02 million for Q2 2026, up 3.0% from $20.41 million a year earlier and up 1.6% from the prior quarter.
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Analysis
DarkPulse (DPLS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, DarkPulse's Total Liabilities came in at $20.89 million, up 5.6% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 36.4% (FY2020 to FY2025).
- In prior years, DarkPulse's Total Liabilities was $19.79 million in FY2024 (-4.8%), $20.79 million in FY2023 (-7.1%), $22.37 million in FY2022 (-6.3%) and $23.87 million in FY2021 (+440.3%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q3 2024.
- On a year-over-year basis, Total Liabilities has increased in each of the last three quarters, with an average decline of 1.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2022, with growth of 512.2%; the weakest was Q3 2022, with a decline of 23.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $20.68 million (Q1 2026), $20.89 million (Q4 2025) and $20.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn | 5.45 Bn |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn | 1.93 Bn |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn | 1.50 Bn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 10.58 Bn |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - | - |
| 10 | DarkPulse | 680,508.98 | 436,670.98 | 11,985.00 | 21.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.02 Mn |
| Mar 31, 2026 | 20.68 Mn |
| Dec 31, 2025 | 20.89 Mn |
| Sep 30, 2025 | 20.26 Mn |
| Jun 30, 2025 | 20.41 Mn |
| Mar 31, 2025 | 19.61 Mn |
| Dec 31, 2024 | 19.79 Mn |
| Sep 30, 2024 | 23.28 Mn |
| Jun 30, 2024 | 21.70 Mn |
| Mar 31, 2024 | 21.21 Mn |
| Dec 31, 2023 | 20.79 Mn |
| Sep 30, 2023 | 22.00 Mn |
| Jun 30, 2023 | 22.08 Mn |
| Mar 31, 2023 | 23.55 Mn |
| Dec 31, 2022 | 22.37 Mn |
| Sep 30, 2022 | 20.08 Mn |
| Jun 30, 2022 | 20.41 Mn |
| Mar 31, 2022 | 26.19 Mn |
| Dec 31, 2021 | 23.87 Mn |
| Sep 30, 2021 | 26.17 Mn |
API Access
DarkPulse 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=DPLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "DPLS", "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=DPLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();