Nano Labs (NA) Other Non-Current Assets (2022 - 2026)
Nano Labs (NA) recorded Other Non-Current Assets of $6.12 million in Q2 2026, compared with $65,449 a year earlier.
Analysis
Nano Labs (NA) Other Non-Current Assets (2022 - 2026) Analysis & Trends
At the end of FY2025, Nano Labs reported Other Non-Current Assets of $191,753, up 229.2% from FY2024.
- Annual Other Non-Current Assets has a three-year compound annual growth rate of 202.8% (FY2022 to FY2025).
- Across earlier years, Other Non-Current Assets came in at $58,250 in FY2024 (-1.3%), $59,016 in FY2023 (+754.3%) and $6,908 in FY2022.
- The Q2 2026 figure is the highest quarterly Other Non-Current Assets in data going back to Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | 15.75 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn | 4.21 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | 8.71 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | 3.84 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | 7.90 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | 1.67 Bn |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | 8.07 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | 3.07 Bn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | 1.45 Bn |
| 10 | Nano Labs | 100.48 Mn | -3,696.08 Bn | - | 6.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.12 Mn |
| Dec 31, 2025 | 190,029.12 |
| Jun 30, 2025 | 65,449.00 |
| Dec 31, 2024 | 58,292.68 |
| Sep 30, 2024 | 59,680.00 |
| Jun 30, 2024 | 58,680.00 |
| Dec 31, 2023 | 58,053.54 |
| Jun 30, 2023 | 57,788.00 |
| Dec 31, 2022 | 482,845.65 |
API Access
Nano Labs Other Non-Current Assets 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=other-non-current-assets&ticker=NA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "ticker": "NA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-non-current-assets&ticker=NA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();