Nano Labs (NA) Debt Ratio (2022 - 2026)
Nano Labs' (NA) Debt Ratio stood at 0.28 in Q2 2026, up 96.1% from 0.14 a year earlier.
Analysis
Nano Labs (NA) Debt Ratio (2022 - 2026) Analysis & Trends
For FY2025, Nano Labs' Debt Ratio came in at 0.20, down 37.4% from FY2024.
- Across earlier years, Debt Ratio came in at 0.32 in FY2024 (-23.2%), 0.41 in FY2023 (+788.4%) and 0.05 in FY2022.
- The Q2 2026 figure is the highest quarterly Debt Ratio since Q4 2024.
- On a year-over-year basis, Debt Ratio rose in 1 of the last four quarters, with an average decline of 9.0%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 0.10 |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 0.02 |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 0.32 |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 0.04 |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 0.04 |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | 0.09 |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 0.25 |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 0.16 |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 0.15 |
| 10 | Nano Labs | 100.94 Mn | -3,696.08 Bn | - | 0.28 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.28 |
| Dec 31, 2025 | 0.20 |
| Jun 30, 2025 | 0.14 |
| Dec 31, 2024 | 0.32 |
| Sep 30, 2024 | 0.49 |
| Jun 30, 2024 | 0.50 |
| Dec 31, 2023 | 0.41 |
| Jun 30, 2023 | 0.23 |
| Dec 31, 2022 | 0.05 |
| Sep 30, 2022 | 0.02 |
API Access
Nano Labs Debt Ratio 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=debt-ratio&ticker=NA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=NA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();