Wrap Technologies (WRAP) Total Non-Current Liabilities (2019 - 2026)
Wrap Technologies (WRAP) reported Total Non-Current Liabilities of $352,000 for Q2 2026, down 81.0% from $1.85 million a year earlier and down 7.4% from the prior quarter.
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Analysis
Wrap Technologies (WRAP) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Wrap Technologies posted Total Non-Current Liabilities of $2.11 million, up 26.6% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 92.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $1.67 million in FY2024 (-7.7%), $1.81 million in FY2023 (+402.2%), $360,000 in FY2022 (+227.3%) and $110,000 in FY2021 (+39.2%).
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q3 2023.
- Year over year, Total Non-Current Liabilities gained in four of the last eight quarters, with growth averaging 49.3%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2024 (growth of 570.8%); the low point was Q2 2026 (a decline of 81.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $380,000 (Q1 2026), $2.11 million (Q4 2025) and $2.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 102.53 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 86.00 Mn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 157.29 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 48.28 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 6.90 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 14.57 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 14.44 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 30.72 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 52.22 Bn |
| 10 | Wrap Technologies | 74.85 Mn | 53.37 Mn | 1.55 Mn | 352,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 352,000.00 |
| Mar 31, 2026 | 380,000.00 |
| Dec 31, 2025 | 2.11 Mn |
| Sep 30, 2025 | 2.20 Mn |
| Jun 30, 2025 | 1.85 Mn |
| Mar 31, 2025 | 1.58 Mn |
| Dec 31, 2024 | 1.67 Mn |
| Sep 30, 2024 | 1.73 Mn |
| Jun 30, 2024 | 1.77 Mn |
| Mar 31, 2024 | 1.84 Mn |
| Dec 31, 2023 | 1.81 Mn |
| Sep 30, 2023 | 281,000.00 |
| Jun 30, 2023 | 264,000.00 |
| Mar 31, 2023 | 286,000.00 |
| Dec 31, 2022 | 360,000.00 |
| Sep 30, 2022 | 377,000.00 |
| Jun 30, 2022 | 414,000.00 |
| Mar 31, 2022 | 436,000.00 |
| Dec 31, 2021 | 110,000.00 |
| Sep 30, 2021 | 146,000.00 |
API Access
Wrap Technologies 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=WRAP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=WRAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();