Qt Imaging Holdings (QTI) Total Liabilities (2021 - 2026)
Qt Imaging Holdings' Total Liabilities was $28.38 million in Q2 2026, up 137.4% from $11.96 million a year earlier and up 55.7% from the prior quarter.
Powered by 
Analysis
Qt Imaging Holdings (QTI) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Qt Imaging Holdings came in at $16.58 million, up 6.1% from FY2024.
- Total Liabilities shows a four-year compound annual growth rate of -48.9% (FY2021 to FY2025).
- In earlier years, Total Liabilities was $15.63 million in FY2024 (+30.0%), $12.02 million in FY2023 (-72.3%), $43.45 million in FY2022 (-82.1%) and $242.55 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Total Liabilities since Q1 2025.
- Compared with a year earlier, Total Liabilities was higher in five of the last eight quarters, with growth averaging 20.7%.
- The best year-over-year quarter for Total Liabilities over five years was Q2 2026 (growth of 137.4%); the worst was Q1 2023 (a decline of 85.8%).
- Per Business Quant data, QTI's Total Liabilities in the three quarters before Q2 2026 was $18.23 million (Q1 2026), $16.58 million (Q4 2025) and $21.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Qt Imaging Holdings | 33.73 Mn | 3.48 Mn | 3.06 Mn | 28.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.38 Mn |
| Mar 31, 2026 | 18.23 Mn |
| Dec 31, 2025 | 16.58 Mn |
| Sep 30, 2025 | 21.20 Mn |
| Jun 30, 2025 | 11.96 Mn |
| Mar 31, 2025 | 31.07 Mn |
| Dec 31, 2024 | 15.63 Mn |
| Sep 30, 2024 | 16.61 Mn |
| Jun 30, 2024 | 16.94 Mn |
| Mar 31, 2024 | 17.77 Mn |
| Dec 31, 2023 | 12.02 Mn |
| Sep 30, 2023 | 27.60 Mn |
| Jun 30, 2023 | 35.83 Mn |
| Mar 31, 2023 | 34.52 Mn |
| Dec 31, 2022 | 43.45 Mn |
| Sep 30, 2022 | 52.74 Mn |
| Jun 30, 2022 | 243.36 Mn |
| Mar 31, 2022 | 242.53 Mn |
| Dec 31, 2021 | 242.55 Mn |
| Sep 30, 2021 | 243.47 Mn |
API Access
Qt Imaging Holdings Total 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-liabilities&ticker=QTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=QTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();