Navitas Semiconductor (NVTS) Total Liabilities (2020 - 2026)
Navitas Semiconductor (NVTS) posted Total Liabilities of $31.02 million for Q2 2026, down 48.8% from $60.56 million a year earlier and down 49.4% from the prior quarter.
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Analysis
Navitas Semiconductor (NVTS) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Navitas Semiconductor's Total Liabilities came in at $56.81 million, up 35.4% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -14.0% (FY2020 to FY2025).
- In prior years, Navitas Semiconductor's Total Liabilities was $41.97 million in FY2024 (-60.0%), $104.93 million in FY2023 (+159.1%), $40.5 million in FY2022 (-82.4%) and $230.07 million in FY2021 (+90.2%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q1 2025.
- On a year-over-year basis, Total Liabilities increased in four of the last eight quarters, with an average decline of 0.7%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2023, with growth of 193.5%; the weakest was Q2 2022, with a decline of 88.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $61.32 million (Q1 2026), $56.81 million (Q4 2025) and $59.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 93.12 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 33.39 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 36.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Navitas Semiconductor | 3.24 Bn | 2.07 Bn | 4.08 Mn | 31.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.02 Mn |
| Mar 31, 2026 | 61.32 Mn |
| Dec 31, 2025 | 56.81 Mn |
| Sep 30, 2025 | 59.22 Mn |
| Jun 30, 2025 | 60.56 Mn |
| Mar 31, 2025 | 29.01 Mn |
| Dec 31, 2024 | 41.97 Mn |
| Sep 30, 2024 | 38.58 Mn |
| Jun 30, 2024 | 50.95 Mn |
| Mar 31, 2024 | 69.97 Mn |
| Dec 31, 2023 | 104.93 Mn |
| Sep 30, 2023 | 90.57 Mn |
| Jun 30, 2023 | 115.74 Mn |
| Mar 31, 2023 | 71.37 Mn |
| Dec 31, 2022 | 40.50 Mn |
| Sep 30, 2022 | 61.06 Mn |
| Jun 30, 2022 | 39.44 Mn |
| Mar 31, 2022 | 87.17 Mn |
| Dec 31, 2021 | 230.07 Mn |
| Sep 30, 2021 | 343.65 Mn |
API Access
Navitas Semiconductor Total 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-liabilities&ticker=NVTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=NVTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();