Nano Labs (NA) Accumulated Expenses (2022 - 2026)
Nano Labs (NA) posted Accumulated Expenses of $975,952 for Q2 2026, up 5.1% from $928,549 a year earlier.
Powered by 
Analysis
Nano Labs (NA) Accumulated Expenses (2022 - 2026) Analysis & Trends
At the end of FY2025, Nano Labs' Accumulated Expenses came in at $945,696, up 2.3% from FY2024.
- Annual Accumulated Expenses shows a three-year compound annual growth rate of -0.3% (FY2022 to FY2025).
- In prior years, Nano Labs' Accumulated Expenses was $924,699 in FY2024 (-1.5%), $938,499 in FY2023 (-1.7%) and $954,414 in FY2022.
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2022.
- On a year-over-year basis, Accumulated Expenses increased in three of the last four quarters, with growth averaging 1.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn |
| 10 | Nano Labs | 100.48 Mn | -3,696.08 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 975,952.00 |
| Dec 31, 2025 | 937,193.18 |
| Jun 30, 2025 | 928,549.00 |
| Dec 31, 2024 | 925,382.06 |
| Sep 30, 2024 | 948,584.00 |
| Jun 30, 2024 | 932,692.00 |
| Dec 31, 2023 | 923,199.64 |
| Jun 30, 2023 | 919,913.00 |
| Dec 31, 2022 | 934,610.63 |
API Access
Nano Labs Accumulated Expenses 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=accumulated-expenses&ticker=NA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=NA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();