Nano Labs (NA) Operating Expenses (2021 - 2022)
Nano Labs' Operating Expenses was $15.82 million in FY2025, up 3.3% from $15.32 million in FY2024.
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Analysis
Nano Labs (NA) Operating Expenses (2021 - 2022) Analysis & Trends
From FY2020 onward, Nano Labs has reported Operating Expenses for 6 years.
- Operating Expenses shows a five-year compound annual growth rate of 23.6% (FY2020 to FY2025).
- Annual Operating Expenses has moved between $15.32 million (FY2024) and $30.08 million (FY2022) over five years.
- Per Business Quant data, Operating Expenses in earlier years was $15.32 million in FY2024 (-31.0%), $22.21 million in FY2023 (-26.1%), $30.08 million in FY2022 (+11.1%) and $27.08 million in FY2021 (+394.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | - |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Nano Labs | 100.94 Mn | -3,696.08 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 8.66 Mn |
| Sep 30, 2022 | 11.33 Mn |
| Dec 31, 2021 | 17.67 Mn |
| Sep 30, 2021 | 2.51 Mn |
API Access
Nano Labs Operating 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=operating-expenses&ticker=NA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=NA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();