Ondas (ONDS) Inventory (2016 - 2026)
Ondas' Inventory came in at $52.03 million for Q2 2026, up 365.0% from $11.19 million a year earlier and up 51.8% from the prior quarter.
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Analysis
Ondas (ONDS) Inventory (2016 - 2026) Analysis & Trends
At the end of FY2025, Ondas' Inventory was $21.96 million, up 123.6% from FY2024.
- Inventory has increased in each of the last eight years, with a five-year compound annual growth rate of 80.3% (FY2020 to FY2025).
- Going back by year, Inventory was $9.82 million in FY2024 (+349.2%), $2.19 million in FY2023 (+0.6%), $2.17 million in FY2022 (+84.4%) and $1.18 million in FY2021 (+2.3%).
- The Q2 2026 figure represents the highest quarterly Inventory in data going back to Q4 2016.
- Year-over-year, Inventory has increased for nine consecutive quarters, with growth averaging 206.8% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in Q2 2026 (growth of 365.0%), and the weakest in Q1 2024 (a decline of 0.1%).
- Business Quant data shows ONDS's Inventory at $34.29 million (Q1 2026), $21.96 million (Q4 2025) and $12.52 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 12.44 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 14.41 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 88.39 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 4.41 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 2.18 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 9.10 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 1.33 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 1.42 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 6.40 Bn |
| 10 | Ondas | 4.07 Bn | 210.18 Mn | 36.13 Mn | 52.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.03 Mn |
| Mar 31, 2026 | 34.29 Mn |
| Dec 31, 2025 | 21.96 Mn |
| Sep 30, 2025 | 12.52 Mn |
| Jun 30, 2025 | 11.19 Mn |
| Mar 31, 2025 | 10.55 Mn |
| Dec 31, 2024 | 9.82 Mn |
| Sep 30, 2024 | 8.88 Mn |
| Jun 30, 2024 | 4.96 Mn |
| Mar 31, 2024 | 3.76 Mn |
| Dec 31, 2023 | 2.19 Mn |
| Sep 30, 2023 | 2.58 Mn |
| Jun 30, 2023 | 2.91 Mn |
| Mar 31, 2023 | 3.76 Mn |
| Dec 31, 2022 | 2.17 Mn |
| Sep 30, 2022 | 1.43 Mn |
| Jun 30, 2022 | 1.27 Mn |
| Mar 31, 2022 | 1.31 Mn |
| Dec 31, 2021 | 1.18 Mn |
| Sep 30, 2021 | 1.28 Mn |
API Access
Ondas 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=ONDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "ONDS", "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=ONDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();