Qt Imaging Holdings (QTI) Other Accumulated Expenses (2021 - 2023)
Qt Imaging Holdings' Other Accumulated Expenses came in at $79,162 for Q4 2023, down 10.1% from $88,021 a year earlier and down 27.0% from the prior quarter.
Qt Imaging Holdings (QTI) Other Accumulated Expenses (2021 - 2023) Analysis & Trends
Going back to Q3 2021, Qt Imaging Holdings' Other Accumulated Expenses data covers 10 quarters.
- Going back by year, Other Accumulated Expenses was $88,021 in FY2022 and $1,783 in FY2021.
- The Q4 2023 figure represents the lowest quarterly Other Accumulated Expenses since Q1 2022.
- Year-over-year, Other Accumulated Expenses has declined for three consecutive quarters.
- Business Quant data shows QTI's Other Accumulated Expenses at $108,478 (Q3 2023), $87,479 (Q2 2023) and $192,916 (Q1 2023) in the three quarters before Q4 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.63 Bn | 235.14 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 189.68 Bn | 163.54 Bn | 7.39 Bn |
| 3 | Danaher | 162.39 Bn | 142.05 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 159.59 Bn | 139.88 Bn | 2.08 Bn |
| 5 | Medtronic | 130.39 Bn | 95.64 Bn | 6.34 Bn |
| 6 | Stryker | 125.23 Bn | 111.41 Bn | 4.25 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.70 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.81 Bn | 43.02 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 58.37 Bn | 55.52 Bn | 2.32 Bn |
| 10 | Qt Imaging Holdings | 32.92 Mn | 2.67 Mn | 3.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 79,162.00 |
| Sep 30, 2023 | 108,478.00 |
| Jun 30, 2023 | 87,479.00 |
| Mar 31, 2023 | 192,916.00 |
| Dec 31, 2022 | 88,021.00 |
| Sep 30, 2022 | 382,460.00 |
| Jun 30, 2022 | 93,560.00 |
| Mar 31, 2022 | 6,898.00 |
| Dec 31, 2021 | 1,783.00 |
| Sep 30, 2021 | 38.00 |
Qt Imaging Holdings Other 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=other-accumulated-expenses&ticker=QTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=QTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();