Quantum Cyber (QUCY) Other Accumulated Expenses (2020 - 2025)
Quantum Cyber (QUCY) posted Other Accumulated Expenses of $13,956 for Q4 2025, down 97.5% from $558,514 a year earlier.
Analysis
Quantum Cyber (QUCY) Other Accumulated Expenses (2020 - 2025) Analysis & Trends
Since Q4 2020, Quantum Cyber has reported Other Accumulated Expenses for 8 quarters.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 37.5% (FY2020 to FY2025).
- In prior years, Quantum Cyber's Other Accumulated Expenses was $558,514 in FY2024 (+86.2%), $299,936 in FY2023 and $84,750 in FY2021.
- The Q4 2025 figure stands as the lowest quarterly Other Accumulated Expenses since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Quantum Cyber | 23.74 Mn | 2.73 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 13,956.00 |
| Jun 30, 2025 | 1.19 Mn |
| Dec 31, 2024 | 558,514.00 |
| Jun 30, 2024 | 426,637.00 |
| Dec 31, 2023 | 299,936.00 |
| Jun 30, 2022 | 104,840.00 |
| Dec 31, 2021 | 84,750.00 |
| Dec 31, 2020 | 2,837.00 |
API Access
Quantum Cyber 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=QUCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "QUCY", "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=QUCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();