Qt Imaging Holdings (QTI) Total Non-Current Liabilities (2021 - 2026)
Qt Imaging Holdings (QTI) recorded Total Non-Current Liabilities of $27.39 million in Q2 2026, up 129.6% from $11.93 million a year earlier and up 52.6% from the prior quarter.
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Analysis
Qt Imaging Holdings (QTI) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Qt Imaging Holdings reported Total Non-Current Liabilities of $14.96 million, down 4.1% from FY2024.
- Annual Total Non-Current Liabilities has a four-year compound annual growth rate of -50.1% (FY2021 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $15.6 million in FY2024 (+29.8%), $12.02 million in FY2023 (-72.3%), $43.42 million in FY2022 (-82.1%) and $242.14 million in FY2021.
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities since Q1 2025.
- On a year-over-year basis, Total Non-Current Liabilities rose in four of the last eight quarters, with growth averaging 17.5%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 129.6% in Q2 2026, against a decline of 85.8% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $17.95 million (Q1 2026), $14.96 million (Q4 2025) and $19.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Qt Imaging Holdings | 35.11 Mn | 4.85 Mn | 3.06 Mn | 27.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.39 Mn |
| Mar 31, 2026 | 17.95 Mn |
| Dec 31, 2025 | 14.96 Mn |
| Sep 30, 2025 | 19.85 Mn |
| Jun 30, 2025 | 11.93 Mn |
| Mar 31, 2025 | 31.06 Mn |
| Dec 31, 2024 | 15.60 Mn |
| Sep 30, 2024 | 16.11 Mn |
| Jun 30, 2024 | 16.92 Mn |
| Mar 31, 2024 | 17.74 Mn |
| Dec 31, 2023 | 12.02 Mn |
| Sep 30, 2023 | 27.57 Mn |
| Jun 30, 2023 | 35.81 Mn |
| Mar 31, 2023 | 34.50 Mn |
| Dec 31, 2022 | 43.42 Mn |
| Sep 30, 2022 | 52.72 Mn |
| Jun 30, 2022 | 243.30 Mn |
| Mar 31, 2022 | 242.35 Mn |
| Dec 31, 2021 | 242.14 Mn |
| Sep 30, 2021 | 243.03 Mn |
API Access
Qt Imaging Holdings Total Non-Current Liabilities 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-non-current-liabilities&ticker=QTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=QTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();