Qt Imaging Holdings (QTI) Accumulated Expenses (2021 - 2026)
Qt Imaging Holdings (QTI) recorded Accumulated Expenses of $6.05 million in Q2 2026, up 43.7% from $4.21 million a year earlier and up 17.9% from the prior quarter.
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Analysis
Qt Imaging Holdings (QTI) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Qt Imaging Holdings reported Accumulated Expenses of $3.83 million, up 6.3% from FY2024.
- Annual Accumulated Expenses has increased for three straight years, with a four-year compound annual growth rate of 88.1% (FY2021 to FY2025).
- Across earlier years, Accumulated Expenses came in at $3.6 million in FY2024 (+873.6%), $369,651 in FY2023 (+257.7%), $103,344 in FY2022 (-66.2%) and $305,755 in FY2021.
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q3 2021.
- On a year-over-year basis, Accumulated Expenses has increased for nine consecutive quarters, with growth averaging 179.9% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 873.6% in Q4 2024, against a decline of 66.2% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.13 million (Q1 2026), $3.83 million (Q4 2025) and $5.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn |
| 10 | Qt Imaging Holdings | 34.84 Mn | 4.58 Mn | 3.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.05 Mn |
| Mar 31, 2026 | 5.13 Mn |
| Dec 31, 2025 | 3.83 Mn |
| Sep 30, 2025 | 5.24 Mn |
| Jun 30, 2025 | 4.21 Mn |
| Mar 31, 2025 | 3.89 Mn |
| Dec 31, 2024 | 3.60 Mn |
| Sep 30, 2024 | 3.36 Mn |
| Jun 30, 2024 | 4.19 Mn |
| Mar 31, 2024 | 2.81 Mn |
| Dec 31, 2023 | 369,651.00 |
| Sep 30, 2023 | 687,500.00 |
| Jun 30, 2023 | 703,580.00 |
| Mar 31, 2023 | 164,464.00 |
| Dec 31, 2022 | 103,344.00 |
| Sep 30, 2022 | 1.20 Mn |
| Jun 30, 2022 | 769,917.00 |
| Mar 31, 2022 | 354,986.00 |
| Dec 31, 2021 | 305,755.00 |
| Sep 30, 2021 | 290,786.00 |
API Access
Qt Imaging Holdings Accumulated Expenses 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=accumulated-expenses&ticker=QTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=QTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();