Navitas Semiconductor (NVTS) Receivables (2020 - 2026)
Navitas Semiconductor (NVTS) recorded Receivables of $5.72 million in Q3 2026, down 41.6% from $9.79 million a year earlier but up 19.9% from the prior quarter.
Navitas Semiconductor (NVTS) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2025, Navitas Semiconductor reported Receivables of $3.62 million, down 74.1% from FY2024.
- Annual Receivables has a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $13.98 million in FY2024 (-45.9%), $25.86 million in FY2023 (+168.6%), $9.63 million in FY2022 (+16.5%) and $8.26 million in FY2021 (+99.0%).
- Quarterly Receivables has ranged from $3.62 million in Q4 2025 to $26.3 million in Q3 2024 over the past five years.
- On a year-over-year basis, Receivables has declined for eight consecutive quarters, with an average decline of 55.7% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 199.1% in Q1 2024, against a decline of 74.1% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.77 million (Q2 2026), $3.73 million (Q1 2026) and $3.62 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 31.02 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 15.18 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 63.30 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 20.89 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 36.65 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 9.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 4.07 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 4.09 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Navitas Semiconductor | 2.35 Bn | 799.61 Mn | 5.51 Mn | 5.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.72 Mn |
| Jun 30, 2026 | 4.77 Mn |
| Mar 31, 2026 | 3.73 Mn |
| Dec 31, 2025 | 3.62 Mn |
| Sep 30, 2025 | 9.79 Mn |
| Jun 30, 2025 | 12.48 Mn |
| Mar 31, 2025 | 12.43 Mn |
| Dec 31, 2024 | 13.98 Mn |
| Sep 30, 2024 | 26.30 Mn |
| Jun 30, 2024 | 22.68 Mn |
| Mar 31, 2024 | 22.20 Mn |
| Dec 31, 2023 | 25.86 Mn |
| Sep 30, 2023 | 17.57 Mn |
| Jun 30, 2023 | 15.15 Mn |
| Mar 31, 2023 | 7.42 Mn |
| Dec 31, 2022 | 9.63 Mn |
| Sep 30, 2022 | 10.86 Mn |
| Jun 30, 2022 | 9.41 Mn |
| Mar 31, 2022 | 9.62 Mn |
| Dec 31, 2021 | 8.26 Mn |
Navitas Semiconductor Receivables 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=receivables&ticker=NVTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=NVTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();