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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn | 53.68 Bn |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn | 33.34 Bn |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | 7.52 Bn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Wrap Technologies | 73.29 Mn | 51.81 Mn | 1.55 Mn | 1.99 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();