Qt Imaging Holdings (QTI) Operating Expenses (2021 - 2026)
Qt Imaging Holdings (QTI) reported Operating Expenses of $4.92 million for Q2 2026, up 71.6% from $2.87 million a year earlier but down 1.9% from the prior quarter.
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Analysis
Qt Imaging Holdings (QTI) Operating Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Qt Imaging Holdings' Operating Expenses came in at $17.24 million, up 55.2% year-over-year; for FY2025, it was $13.02 million, down 12.1% from FY2024.
- Operating Expenses has a four-year compound annual growth rate of 86.3% (FY2021 to FY2025).
- By year, Operating Expenses came in at $14.82 million in FY2024 (+201.6%), $4.91 million in FY2023 (+14.8%), $4.28 million in FY2022 (+295.7%) and $1.08 million in FY2021.
- Five-year quarterly Operating Expenses spans a low of $142,971 in Q3 2021 and a high of $6.34 million in Q1 2024.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with growth averaging 64.9% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2022 (growth of 670.5%); the low point was Q1 2025 (a decline of 55.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $5.02 million (Q1 2026), $3.84 million (Q4 2025) and $3.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Qt Imaging Holdings | 35.52 Mn | 5.27 Mn | 3.06 Mn | 4.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.92 Mn |
| Mar 31, 2026 | 5.02 Mn |
| Dec 31, 2025 | 3.84 Mn |
| Sep 30, 2025 | 3.45 Mn |
| Jun 30, 2025 | 2.87 Mn |
| Mar 31, 2025 | 2.85 Mn |
| Dec 31, 2024 | 2.45 Mn |
| Sep 30, 2024 | 2.93 Mn |
| Jun 30, 2024 | 3.09 Mn |
| Mar 31, 2024 | 6.34 Mn |
| Dec 31, 2023 | 757,233.00 |
| Sep 30, 2023 | 1.24 Mn |
| Jun 30, 2023 | 1.20 Mn |
| Mar 31, 2023 | 1.71 Mn |
| Dec 31, 2022 | 1.59 Mn |
| Sep 30, 2022 | 1.10 Mn |
| Jun 30, 2022 | 973,852.00 |
| Mar 31, 2022 | 612,883.00 |
| Dec 31, 2021 | 902,578.00 |
| Sep 30, 2021 | 142,971.00 |
API Access
Qt Imaging Holdings Operating 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=operating-expenses&ticker=QTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=QTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();