Ondas (ONDS) Change in Inventory (2016 - 2026)
Ondas (ONDS) posted Change in Inventory of $9.92 million for Q2 2026, compared with $642,000 a year earlier and up 140.3% from the prior quarter.
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Analysis
Ondas (ONDS) Change in Inventory (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Inventory at Ondas was $17.52 million, up 292.4% year-over-year; for FY2025, it was $4.84 million, down 11.5% from FY2024.
- Annual Change in Inventory shows a five-year compound annual growth rate of 74.6% (FY2020 to FY2025).
- In prior years, Ondas' Change in Inventory was $5.47 million in FY2024, -$1.48 million in FY2023, $994,672 in FY2022 (+686.3%) and $126,494 in FY2021 (-57.5%).
- The Q2 2026 figure stands as the highest quarterly Change in Inventory in data going back to Q2 2016.
- On a year-over-year basis, Change in Inventory increased in two of the last five quarters, with growth averaging 90.5%.
- The strongest year-over-year quarter for Change in Inventory in the past five years was Q3 2021, with growth of 665.5%; the weakest was Q2 2025, with a decline of 46.3%.
- According to Business Quant data, Change in Inventory for the three prior quarters was $4.13 million (Q1 2026), $2.19 million (Q4 2025) and $1.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 109.00 Mn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 330.00 Mn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 1.23 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 160.00 Mn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 55.00 Mn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | -80.00 Mn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 156.00 Mn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | -26.00 Mn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 31.00 Mn |
| 10 | Ondas | 3.96 Bn | 104.21 Mn | 36.13 Mn | 9.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.92 Mn |
| Mar 31, 2026 | 4.13 Mn |
| Dec 31, 2025 | 2.19 Mn |
| Sep 30, 2025 | 1.27 Mn |
| Jun 30, 2025 | 642,000.00 |
| Mar 31, 2025 | 727,000.00 |
| Dec 31, 2024 | 1.06 Mn |
| Sep 30, 2024 | 2.03 Mn |
| Jun 30, 2024 | 1.20 Mn |
| Mar 31, 2024 | 1.17 Mn |
| Dec 31, 2023 | -393,520.00 |
| Sep 30, 2023 | -327,097.00 |
| Jun 30, 2023 | -855,517.00 |
| Mar 31, 2023 | 95,056.00 |
| Dec 31, 2022 | 741,201.00 |
| Sep 30, 2022 | 162,068.00 |
| Jun 30, 2022 | -35,855.00 |
| Mar 31, 2022 | 127,258.00 |
| Dec 31, 2021 | -5,737.00 |
| Sep 30, 2021 | 137,618.00 |
API Access
Ondas Change in 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=change-in-inventory&ticker=ONDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=ONDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();