Qt Imaging Holdings (QTI) Non-Current Assets (2021 - 2026)
Qt Imaging Holdings' Non-Current Assets came in at $1.21 million for Q2 2026, up 25.6% from $963,925 a year earlier and up 45.7% from the prior quarter.
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Analysis
Qt Imaging Holdings (QTI) Non-Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, Qt Imaging Holdings' Non-Current Assets was $930,000, down 20.5% from FY2024.
- Non-Current Assets has declined in each of the last four years, with a four-year compound annual growth rate of -74.9% (FY2021 to FY2025).
- Going back by year, Non-Current Assets was $1.17 million in FY2024 (-38.0%), $1.89 million in FY2023 (-95.5%), $41.69 million in FY2022 (-82.1%) and $232.47 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Non-Current Assets since Q2 2024.
- Year-over-year, Non-Current Assets increased in 1 of the last eight quarters, with an average decline of 28.7%.
- The fastest year-over-year change in Non-Current Assets over five years came in Q2 2026 (growth of 25.6%), and the weakest in Q2 2024 (a decline of 96.0%).
- Business Quant data shows QTI's Non-Current Assets at $831,000 (Q1 2026), $930,000 (Q4 2025) and $832,806 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Qt Imaging Holdings | 33.73 Mn | 3.48 Mn | 3.06 Mn | 1.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.21 Mn |
| Mar 31, 2026 | 831,000.00 |
| Dec 31, 2025 | 930,000.00 |
| Sep 30, 2025 | 832,806.00 |
| Jun 30, 2025 | 963,925.00 |
| Mar 31, 2025 | 1.05 Mn |
| Dec 31, 2024 | 1.17 Mn |
| Sep 30, 2024 | 1.18 Mn |
| Jun 30, 2024 | 1.29 Mn |
| Mar 31, 2024 | 1.42 Mn |
| Dec 31, 2023 | 1.89 Mn |
| Sep 30, 2023 | 23.01 Mn |
| Jun 30, 2023 | 32.50 Mn |
| Mar 31, 2023 | 31.83 Mn |
| Dec 31, 2022 | 41.69 Mn |
| Sep 30, 2022 | 40.87 Mn |
| Jun 30, 2022 | 232.62 Mn |
| Mar 31, 2022 | 232.32 Mn |
| Dec 31, 2021 | 232.47 Mn |
| Sep 30, 2021 | 232.65 Mn |
API Access
Qt Imaging Holdings Non-Current Assets 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=non-current-assets&ticker=QTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "QTI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-assets&ticker=QTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();