Navitas Semiconductor (NVTS) Cash & Equivalents (2020 - 2026)
Navitas Semiconductor's Cash & Equivalents was $557.41 million in Q2 2026, up 245.8% from $161.19 million a year earlier and up 152.2% from the prior quarter.
Navitas Semiconductor (NVTS) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Navitas Semiconductor came in at $236.86 million, up 173.1% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 43.5% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $86.74 million in FY2024 (-42.9%), $151.89 million in FY2023 (+37.7%), $110.34 million in FY2022 (-58.9%) and $268.25 million in FY2021 (+590.1%).
- The Q2 2026 figure marks the highest quarterly Cash & Equivalents in data going back to Q3 2020.
- Compared with a year earlier, Cash & Equivalents has increased for five straight quarters, with growth averaging 72.7% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2021 (growth of 590.1%); the worst was Q1 2023 (a decline of 60.3%).
- Per Business Quant data, NVTS's Cash & Equivalents in the three quarters before Q2 2026 was $221.01 million (Q1 2026), $236.86 million (Q4 2025) and $150.55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 99.16 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 25.00 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 15.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 5.58 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 7.04 Bn |
| 10 | Navitas Semiconductor | 3.24 Bn | 2.07 Bn | 4.08 Mn | 557.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 557.41 Mn |
| Mar 31, 2026 | 221.01 Mn |
| Dec 31, 2025 | 236.86 Mn |
| Sep 30, 2025 | 150.55 Mn |
| Jun 30, 2025 | 161.19 Mn |
| Mar 31, 2025 | 75.13 Mn |
| Dec 31, 2024 | 86.74 Mn |
| Sep 30, 2024 | 98.33 Mn |
| Jun 30, 2024 | 111.69 Mn |
| Mar 31, 2024 | 128.91 Mn |
| Dec 31, 2023 | 151.89 Mn |
| Sep 30, 2023 | 176.70 Mn |
| Jun 30, 2023 | 177.75 Mn |
| Mar 31, 2023 | 100.82 Mn |
| Dec 31, 2022 | 110.34 Mn |
| Sep 30, 2022 | 124.79 Mn |
| Jun 30, 2022 | 240.50 Mn |
| Mar 31, 2022 | 253.80 Mn |
| Dec 31, 2021 | 268.25 Mn |
| Sep 30, 2021 | 13,955.00 |
Navitas Semiconductor Cash & Equivalents 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=cash-and-equivalents&ticker=NVTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "NVTS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=NVTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();