Nano Labs (NA) Selling, General & Administrative (2021 - 2022)
Nano Labs (NA) reported Selling, General & Administrative of -$7.77 million for FY2025, compared with $7.07 million in FY2024.
Analysis
Nano Labs (NA) Selling, General & Administrative (2021 - 2022) Analysis & Trends
Dating back to FY2020, Nano Labs' Selling, General & Administrative record includes 6 years.
- The FY2025 figure ranks as the lowest annual Selling, General & Administrative in data going back to FY2020.
- According to Business Quant data, Selling, General & Administrative came in at $7.07 million in FY2024 (-6.2%), $7.54 million in FY2023 (-1.3%), $7.64 million in FY2022 (+104.2%) and $3.74 million in FY2021 (+709.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 1.35 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 676.02 Mn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 996.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 407.00 Mn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 1.40 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 1.18 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 322.33 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 162.00 Mn |
| 10 | Nano Labs | 101.40 Mn | -3,696.08 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 2.23 Mn |
| Sep 30, 2022 | 2.93 Mn |
| Dec 31, 2021 | 1.56 Mn |
| Sep 30, 2021 | 409,605.60 |
API Access
Nano Labs Selling, General & Administrative 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=selling-general-and-administrative&ticker=NA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=NA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();