Navitas Semiconductor (NVTS) Total Current Liabilities (2020 - 2026)
Navitas Semiconductor (NVTS) reported Total Current Liabilities of $34.07 million for Q3 2026, up 51.2% from $22.54 million a year earlier and up 23.3% from the prior quarter.
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Analysis
Navitas Semiconductor (NVTS) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Navitas Semiconductor posted Total Current Liabilities of $52.12 million, up 146.5% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 52.3% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $21.14 million in FY2024 (-56.4%), $48.49 million in FY2023 (+138.3%), $20.35 million in FY2022 (+89.7%) and $10.73 million in FY2021 (+68.5%).
- Five-year quarterly Total Current Liabilities spans a low of $10.73 million in Q4 2021 and a high of $56.85 million in Q1 2026.
- Year over year, Total Current Liabilities has now increased in each of the last four quarters, with growth averaging 33.4% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q1 2026 (growth of 194.4%); the low point was Q4 2024 (a decline of 56.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $27.64 million (Q2 2026), $56.85 million (Q1 2026) and $52.12 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 39.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 61.78 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 43.02 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 20.84 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 27.48 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 14.49 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 28.50 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 37.40 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 11.58 Bn |
| 10 | Navitas Semiconductor | 2.35 Bn | 799.61 Mn | 5.51 Mn | 34.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 34.07 Mn |
| Jun 30, 2026 | 27.64 Mn |
| Mar 31, 2026 | 56.85 Mn |
| Dec 31, 2025 | 52.12 Mn |
| Sep 30, 2025 | 22.54 Mn |
| Jun 30, 2025 | 23.43 Mn |
| Mar 31, 2025 | 19.31 Mn |
| Dec 31, 2024 | 21.14 Mn |
| Sep 30, 2024 | 25.96 Mn |
| Jun 30, 2024 | 28.95 Mn |
| Mar 31, 2024 | 41.97 Mn |
| Dec 31, 2023 | 48.49 Mn |
| Sep 30, 2023 | 45.39 Mn |
| Jun 30, 2023 | 35.95 Mn |
| Mar 31, 2023 | 23.47 Mn |
| Dec 31, 2022 | 20.35 Mn |
| Sep 30, 2022 | 18.64 Mn |
| Jun 30, 2022 | 15.58 Mn |
| Mar 31, 2022 | 12.88 Mn |
| Dec 31, 2021 | 10.73 Mn |
API Access
Navitas Semiconductor Total Current 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-current-liabilities&ticker=NVTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=NVTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();