Qt Imaging Holdings (QTI) Total Current Liabilities (2021 - 2026)
Qt Imaging Holdings (QTI) reported Total Current Liabilities of $9.5 million for Q2 2026, up 50.6% from $6.31 million a year earlier and up 11.4% from the prior quarter.
Qt Imaging Holdings (QTI) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Qt Imaging Holdings posted Total Current Liabilities of $7.87 million, down 19.7% from FY2024.
- Total Current Liabilities has a four-year compound annual growth rate of 87.7% (FY2021 to FY2025).
- By year, Total Current Liabilities came in at $9.79 million in FY2024 (+33.5%), $7.34 million in FY2023 (+75.3%), $4.19 million in FY2022 (+560.7%) and $633,641 in FY2021.
- Five-year quarterly Total Current Liabilities spans a low of $633,641 in Q4 2021 and a high of $15.27 million in Q2 2024.
- Year over year, Total Current Liabilities gained in five of the last eight quarters, with growth averaging 22.9%.
- The high point for year-over-year Total Current Liabilities in five years was Q1 2023 (growth of 669.5%); the low point was Q2 2025 (a decline of 58.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $8.53 million (Q1 2026), $7.87 million (Q4 2025) and $12.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Qt Imaging Holdings | 33.73 Mn | 3.48 Mn | 3.06 Mn | 9.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.50 Mn |
| Mar 31, 2026 | 8.53 Mn |
| Dec 31, 2025 | 7.87 Mn |
| Sep 30, 2025 | 12.74 Mn |
| Jun 30, 2025 | 6.31 Mn |
| Mar 31, 2025 | 5.28 Mn |
| Dec 31, 2024 | 9.79 Mn |
| Sep 30, 2024 | 5.43 Mn |
| Jun 30, 2024 | 15.27 Mn |
| Mar 31, 2024 | 4.37 Mn |
| Dec 31, 2023 | 7.34 Mn |
| Sep 30, 2023 | 8.93 Mn |
| Jun 30, 2023 | 8.02 Mn |
| Mar 31, 2023 | 6.40 Mn |
| Dec 31, 2022 | 4.19 Mn |
| Sep 30, 2022 | 2.65 Mn |
| Jun 30, 2022 | 1.57 Mn |
| Mar 31, 2022 | 832,334.00 |
| Dec 31, 2021 | 633,641.00 |
| Sep 30, 2021 | 1.53 Mn |
Qt Imaging Holdings Total 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-current-liabilities&ticker=QTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=QTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();