Qt Imaging Holdings (QTI) Selling, General & Administrative (2021 - 2026)
Qt Imaging Holdings (QTI) reported Selling, General & Administrative of $3.3 million for Q2 2026, up 67.6% from $1.97 million a year earlier and up 0.1% from the prior quarter.
Qt Imaging Holdings (QTI) Selling, General & Administrative (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Qt Imaging Holdings' Selling, General & Administrative came in at $11.71 million, up 53.0% year-over-year; for FY2025, it came in at $9.09 million, down 21.3% from FY2024.
- Selling, General & Administrative has a four-year compound annual growth rate of 70.3% (FY2021 to FY2025).
- By year, Selling, General & Administrative came in at $11.55 million in FY2024 (+237.0%), $3.43 million in FY2023 (-19.9%), $4.28 million in FY2022 (+295.7%) and $1.08 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q1 2024.
- Year over year, Selling, General & Administrative has now increased in each of the last four quarters, with growth averaging 78.3% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2022 (growth of 670.5%); the low point was Q4 2023 (a decline of 77.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.3 million (Q1 2026), $2.6 million (Q4 2025) and $2.52 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 617.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 561.20 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 1.26 Bn |
| 10 | Qt Imaging Holdings | 36.76 Mn | 6.51 Mn | 3.06 Mn | 3.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.30 Mn |
| Mar 31, 2026 | 3.30 Mn |
| Dec 31, 2025 | 2.60 Mn |
| Sep 30, 2025 | 2.52 Mn |
| Jun 30, 2025 | 1.97 Mn |
| Mar 31, 2025 | 2.00 Mn |
| Dec 31, 2024 | 1.68 Mn |
| Sep 30, 2024 | 2.01 Mn |
| Jun 30, 2024 | 2.17 Mn |
| Mar 31, 2024 | 5.70 Mn |
| Dec 31, 2023 | 354,970.00 |
| Sep 30, 2023 | 932,124.00 |
| Jun 30, 2023 | 848,831.00 |
| Mar 31, 2023 | 1.29 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 |
Qt Imaging Holdings Selling, General & Administrative 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=selling-general-and-administrative&ticker=QTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=QTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();