Wrap Technologies (WRAP) Total Liabilities (2016 - 2026)
Wrap Technologies' Total Liabilities came in at $1.99 million for Q2 2026, down 48.2% from $3.85 million a year earlier and down 12.9% from the prior quarter.
Wrap Technologies (WRAP) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Wrap Technologies' Total Liabilities was $3.93 million, down 73.6% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $14.87 million in FY2024 (-41.3%), $25.34 million in FY2023 (+620.6%), $3.52 million in FY2022 (+18.5%) and $2.97 million in FY2021 (+22.7%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q1 2021.
- Year-over-year, Total Liabilities has declined for seven consecutive quarters, with an average decline of 50.8% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2023 (growth of 620.6%), and the weakest in Q1 2026 (a decline of 85.1%).
- Business Quant data shows WRAP's Total Liabilities at $2.29 million (Q1 2026), $3.93 million (Q4 2025) and $4.11 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Wrap Technologies | 74.85 Mn | 53.37 Mn | 1.55 Mn | 1.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.99 Mn |
| Mar 31, 2026 | 2.29 Mn |
| Dec 31, 2025 | 3.93 Mn |
| Sep 30, 2025 | 4.11 Mn |
| Jun 30, 2025 | 3.85 Mn |
| Mar 31, 2025 | 15.41 Mn |
| Dec 31, 2024 | 14.87 Mn |
| Sep 30, 2024 | 12.38 Mn |
| Jun 30, 2024 | 17.92 Mn |
| Mar 31, 2024 | 20.29 Mn |
| Dec 31, 2023 | 25.34 Mn |
| Sep 30, 2023 | 11.10 Mn |
| Jun 30, 2023 | 11.08 Mn |
| Mar 31, 2023 | 3.68 Mn |
| Dec 31, 2022 | 3.52 Mn |
| Sep 30, 2022 | 2.56 Mn |
| Jun 30, 2022 | 2.97 Mn |
| Mar 31, 2022 | 3.20 Mn |
| Dec 31, 2021 | 2.97 Mn |
| Sep 30, 2021 | 3.21 Mn |
Wrap Technologies 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=WRAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "WRAP", "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=WRAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();