Nano Labs (NA) Total Debt (2022 - 2026)
Nano Labs' Total Debt was $30.2 million in Q2 2026, up 2.7% from $29.39 million a year earlier.
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Analysis
Nano Labs (NA) Total Debt (2022 - 2026) Analysis & Trends
At the end of FY2025, Total Debt at Nano Labs came in at $31.41 million, up 16.4% from FY2024.
- Total Debt has now increased for three consecutive years, with a three-year compound annual growth rate of 134.6% (FY2022 to FY2025).
- In earlier years, Total Debt was $26.99 million in FY2024 (+33.1%), $20.28 million in FY2023 (+733.3%) and $2.43 million in FY2022.
- Quarterly Total Debt has moved between $1.02 million (Q3 2022) and $31.13 million (Q4 2025) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 33.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 6.85 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 59.42 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 5.72 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 3.23 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | 5.11 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 50.54 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 3.73 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 6.54 Bn |
| 10 | Nano Labs | 100.94 Mn | -3,696.08 Bn | - | 30.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.20 Mn |
| Dec 31, 2025 | 31.13 Mn |
| Jun 30, 2025 | 29.39 Mn |
| Dec 31, 2024 | 27.01 Mn |
| Sep 30, 2024 | 27.13 Mn |
| Jun 30, 2024 | 25.71 Mn |
| Dec 31, 2023 | 19.95 Mn |
| Jun 30, 2023 | 9.61 Mn |
| Dec 31, 2022 | 2.38 Mn |
| Sep 30, 2022 | 1.02 Mn |
API Access
Nano Labs Total Debt 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=total-debt&ticker=NA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=NA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();