Innoviz Technologies (INVZ) Accumulated Expenses (2019 - 2026)
Innoviz Technologies (INVZ) posted Accumulated Expenses of $6.25 million for the quarter ended Jun 30, 2026, down 2.0% from $6.38 million a year earlier but up 10.1% from the prior quarter.
Innoviz Technologies (INVZ) Accumulated Expenses (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Innoviz Technologies' Accumulated Expenses came in at $6 million, up 6.5% from the prior year.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 18.4% (years ended Dec 2020 to Dec 2025).
- In prior years, Innoviz Technologies' Accumulated Expenses was $5.63 million in the year ended Dec 31, 2024 (-35.6%), $8.74 million in the year ended Dec 31, 2023 (+15.5%), $7.57 million in the year ended Dec 31, 2022 (+12.9%) and $6.71 million in the year ended Dec 31, 2021 (+160.1%).
- Quarterly Accumulated Expenses has run from a low of $3.95 million in the quarter ended Mar 31, 2022 to a high of $11.72 million in the quarter ended Jun 30, 2022 over five years.
- On a year-over-year basis, Accumulated Expenses increased in 1 of the last eight quarters, with an average decline of 12.6%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was the quarter ended Jun 30, 2022, with growth of 197.3%; the weakest was the quarter ended Mar 31, 2022, with a decline of 86.7%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $5.67 million (quarter ended Mar 31, 2026), $6 million (quarter ended Dec 31, 2025) and $5.33 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn |
| 10 | Innoviz Technologies | 77.07 Mn | -139.96 Mn | 697,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.25 Mn |
| Mar 31, 2026 | 5.67 Mn |
| Dec 31, 2025 | 6.00 Mn |
| Sep 30, 2025 | 5.33 Mn |
| Jun 30, 2025 | 6.38 Mn |
| Mar 31, 2025 | 5.91 Mn |
| Dec 31, 2024 | 5.63 Mn |
| Sep 30, 2024 | 5.41 Mn |
| Jun 30, 2024 | 7.40 Mn |
| Mar 31, 2024 | 8.19 Mn |
| Dec 31, 2023 | 8.74 Mn |
| Sep 30, 2023 | 6.97 Mn |
| Jun 30, 2023 | 7.17 Mn |
| Mar 31, 2023 | 8.57 Mn |
| Dec 31, 2022 | 7.57 Mn |
| Sep 30, 2022 | 8.97 Mn |
| Jun 30, 2022 | 11.72 Mn |
| Mar 31, 2022 | 3.95 Mn |
| Dec 31, 2021 | 6.71 Mn |
| Sep 30, 2021 | 4.14 Mn |
Innoviz Technologies Accumulated Expenses 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=accumulated-expenses&ticker=INVZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "INVZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=INVZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();