Quantum Cyber (QUCY) Change in Accrued Expenses (2025 - 2026)
Quantum Cyber (QUCY) reported Change in Accrued Expenses of $470,318 for Q3 2026, compared with -$838,579 a year earlier.
Quantum Cyber (QUCY) Change in Accrued Expenses (2025 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Quantum Cyber's Change in Accrued Expenses came in at -$113,646; for FY2025, it was -$2.07 million.
- By year, Change in Accrued Expenses came in at $210,017 in FY2024.
- Five-year quarterly Change in Accrued Expenses spans a low of -$838,579 in Q3 2025 and a high of $542,688 in Q1 2026.
- Per Business Quant data, the three quarters before Q3 2026 came in at -$588,822 (Q2 2026), $542,688 (Q1 2026) and -$537,830 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | - |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 30.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 77.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 89.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 67.20 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 255.00 Mn |
| 10 | Quantum Cyber | 40.12 Mn | 15.99 Mn | 93,590.00 | 470,318.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 470,318.00 |
| Jun 30, 2026 | -588,822.00 |
| Mar 31, 2026 | 542,688.00 |
| Jun 30, 2025 | -204,807.00 |
| Mar 31, 2025 | -492,514.00 |
Quantum Cyber Change in Accrued 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=change-in-accured-expenses&ticker=QUCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=QUCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();