DarkPulse (DPLS) Total Non-Current Liabilities (2017 - 2026)
DarkPulse's Total Non-Current Liabilities was $401,303 in Q2 2026, down 48.2% from $774,246 a year earlier and down 12.8% from the prior quarter.
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Analysis
DarkPulse (DPLS) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at DarkPulse came in at $622,948, down 59.0% from FY2024.
- Total Non-Current Liabilities has now declined for four consecutive years, with a five-year compound annual growth rate of -11.9% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $1.52 million in FY2024 (-10.8%), $1.7 million in FY2023 (-55.5%), $3.83 million in FY2022 (-7.4%) and $4.14 million in FY2021 (+251.8%).
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities in data going back to Q3 2017.
- Compared with a year earlier, Total Non-Current Liabilities has declined for 15 straight quarters, with an average decline of 43.8% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2021 (growth of 251.8%); the worst was Q4 2025 (a decline of 59.0%).
- Per Business Quant data, DPLS's Total Non-Current Liabilities in the three quarters before Q2 2026 was $460,360 (Q1 2026), $622,948 (Q4 2025) and $696,123 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn | 2.74 Bn |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn | 6.26 Bn |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn | 1.79 Bn |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn | 1.41 Bn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 9.92 Bn |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - | -6.00 Mn |
| 10 | DarkPulse | 680,508.98 | 436,670.98 | 11,985.00 | 401,303.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 401,303.00 |
| Mar 31, 2026 | 460,360.00 |
| Dec 31, 2025 | 622,948.00 |
| Sep 30, 2025 | 696,123.00 |
| Jun 30, 2025 | 774,246.00 |
| Mar 31, 2025 | 977,965.00 |
| Dec 31, 2024 | 1.52 Mn |
| Sep 30, 2024 | 1.58 Mn |
| Jun 30, 2024 | 1.68 Mn |
| Mar 31, 2024 | 1.69 Mn |
| Dec 31, 2023 | 1.70 Mn |
| Sep 30, 2023 | 2.17 Mn |
| Jun 30, 2023 | 2.28 Mn |
| Mar 31, 2023 | 4.00 Mn |
| Dec 31, 2022 | 3.83 Mn |
| Sep 30, 2022 | 2.82 Mn |
| Jun 30, 2022 | 2.94 Mn |
| Mar 31, 2022 | 4.79 Mn |
| Dec 31, 2021 | 4.14 Mn |
| Sep 30, 2021 | 2.78 Mn |
API Access
DarkPulse 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=DPLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=DPLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();