Navitas Semiconductor (NVTS) Receivables (2020 - 2026)
Navitas Semiconductor (NVTS) recorded Receivables of $4.77 million in Q2 2026, down 61.8% from $12.48 million a year earlier but up 27.9% 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 seven consecutive quarters, with an average decline of 44.2% 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 $3.73 million (Q1 2026), $3.62 million (Q4 2025) and $9.79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 63.30 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 13.95 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 20.89 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 31.23 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 7.28 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 4.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.03 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 5.34 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 7.69 Bn |
| 10 | Navitas Semiconductor | 3.24 Bn | 2.07 Bn | 4.08 Mn | 4.77 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Dec 31, 2020 | 4.15 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();