DarkPulse (DPLS) Inventory (2021 - 2023)
DarkPulse (DPLS) recorded Inventory of $32,077 in Q3 2023, down 87.7% from $260,613 a year earlier and unchanged from the prior quarter.
Analysis
DarkPulse (DPLS) Inventory (2021 - 2023) Analysis & Trends
At the end of FY2022, DarkPulse reported Inventory of $23,825, up 99.4% from FY2021.
- Across earlier years, Inventory came in at $11,948 in FY2021.
- Quarterly Inventory has ranged from $11,948 in Q4 2021 to $1.88 million in Q1 2022 over the past five years.
- On a year-over-year basis, Inventory has declined for three consecutive quarters, with an average decline of 53.8% over the last five quarters.
- Per Business Quant, the preceding three quarters came in at $32,077 (Q2 2023), $21,919 (Q1 2023) and $23,825 (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn | - |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn | 433.29 Mn |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn | - |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn | 172.00 Mn |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn | 42.81 Mn |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn | - |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 433.62 Mn |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - | 314.00 Mn |
| 10 | DarkPulse | 680,508.98 | 436,670.98 | 11,985.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 32,077.00 |
| Jun 30, 2023 | 32,077.00 |
| Mar 31, 2023 | 21,919.00 |
| Dec 31, 2022 | 23,825.00 |
| Sep 30, 2022 | 260,613.00 |
| Jun 30, 2022 | 1.67 Mn |
| Mar 31, 2022 | 1.88 Mn |
| Dec 31, 2021 | 11,948.00 |
| Sep 30, 2021 | 1.63 Mn |
API Access
DarkPulse Inventory 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=inventory&ticker=DPLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=DPLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();