Navitas Semiconductor (NVTS) Accounts Payables (2020 - 2026)
Navitas Semiconductor (NVTS) reported Accounts Payables of $19.51 million for Q2 2026, up 15.2% from $16.93 million a year earlier and up 5.8% from the prior quarter.
Navitas Semiconductor (NVTS) Accounts Payables (2020 - 2026) Analysis & Trends
At the end of FY2025, Navitas Semiconductor posted Accounts Payables of $22.35 million, up 107.8% from FY2024.
- Accounts Payables has a five-year compound annual growth rate of 43.3% (FY2020 to FY2025).
- By year, Accounts Payables came in at $10.75 million in FY2024 (-56.5%), $24.74 million in FY2023 (+68.8%), $14.65 million in FY2022 (+201.5%) and $4.86 million in FY2021 (+31.4%).
- Five-year quarterly Accounts Payables spans a low of $4.86 million in Q4 2021 and a high of $24.74 million in Q4 2023.
- Year over year, Accounts Payables has now increased in each of the last five quarters, with growth averaging 9.8% over the last eight quarters.
- The high point for year-over-year Accounts Payables in five years was Q4 2022 (growth of 201.5%); the low point was Q4 2024 (a decline of 56.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $18.44 million (Q1 2026), $22.35 million (Q4 2025) and $14.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 15.06 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 3.45 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.00 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 15.52 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.36 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 4.10 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 8.76 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 1.30 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 5.79 Bn |
| 10 | Navitas Semiconductor | 3.24 Bn | 2.07 Bn | 4.08 Mn | 19.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.51 Mn |
| Mar 31, 2026 | 18.44 Mn |
| Dec 31, 2025 | 22.35 Mn |
| Sep 30, 2025 | 14.06 Mn |
| Jun 30, 2025 | 16.93 Mn |
| Mar 31, 2025 | 14.27 Mn |
| Dec 31, 2024 | 10.75 Mn |
| Sep 30, 2024 | 13.59 Mn |
| Jun 30, 2024 | 13.11 Mn |
| Mar 31, 2024 | 24.45 Mn |
| Dec 31, 2023 | 24.74 Mn |
| Sep 30, 2023 | 14.79 Mn |
| Jun 30, 2023 | 17.68 Mn |
| Mar 31, 2023 | 13.61 Mn |
| Dec 31, 2022 | 14.65 Mn |
| Sep 30, 2022 | 9.31 Mn |
| Jun 30, 2022 | 6.30 Mn |
| Mar 31, 2022 | 5.22 Mn |
| Dec 31, 2021 | 4.86 Mn |
| Dec 31, 2020 | 3.70 Mn |
Navitas Semiconductor Accounts Payables 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=accounts-payables&ticker=NVTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=NVTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();