ParaZero Technologies (PRZO) Total Non-Current Liabilities (2022 - 2026)
ParaZero Technologies' Total Non-Current Liabilities was $304.89 million in Q2 2026, down 80.5% from $1.57 billion a year earlier.
ParaZero Technologies (PRZO) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at ParaZero Technologies came in at $819.87 million, down 82.7% from FY2024.
- Total Non-Current Liabilities shows a three-year compound annual growth rate of 26.2% (FY2022 to FY2025).
- In earlier years, Total Non-Current Liabilities was $4.73 billion in FY2024 (+202.2%), $1.56 billion in FY2023 (+283.9%) and $407.57 million in FY2022.
- Compared with a year earlier, Total Non-Current Liabilities was higher in 1 of the last four quarters, with growth averaging 6.6%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 102.53 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 86.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 157.29 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 48.28 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 6.90 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 14.57 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 14.44 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 30.72 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 52.22 Bn |
| 10 | ParaZero Technologies | 11.80 Mn | -2.51 Bn | - | 304.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 304.89 Mn |
| Dec 31, 2025 | 819.87 Mn |
| Jun 30, 2025 | 1.57 Bn |
| Dec 31, 2024 | 4.73 Bn |
| Jun 30, 2024 | 1.79 Bn |
| Dec 31, 2023 | 1.56 Bn |
| Dec 31, 2022 | 407.57 Mn |
ParaZero 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=PRZO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PRZO", "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=PRZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();