Virax Biolabs (VRAX) Other Accumulated Expenses (2021 - 2026)
Virax Biolabs (VRAX) posted Other Accumulated Expenses of $265,982 for fiscal Q4 2026 (quarter ended Mar 31, 2026), down 21.2% from $337,576 a year earlier.
Virax Biolabs (VRAX) Other Accumulated Expenses (2021 - 2026) Analysis & Trends
Since fiscal Q4 2021, Virax Biolabs has reported Other Accumulated Expenses for 7 quarters.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -6.4% (FY2021 to FY2026).
- In prior fiscal years, Virax Biolabs' Other Accumulated Expenses was $337,576 in FY2025, $18,296 in FY2023 (-85.5%) and $126,183 in FY2022 (-66.0%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Other Accumulated Expenses since fiscal Q2 2024.
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 | Virax Biolabs | 862,770.33 | -20.68 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 265,982.00 |
| Mar 31, 2025 | 337,576.00 |
| Sep 30, 2023 | 93,462.00 |
| Mar 31, 2023 | 18,296.00 |
| Sep 30, 2022 | 23,486.00 |
| Mar 31, 2022 | 126,183.00 |
| Mar 31, 2021 | 371,051.00 |
Virax Biolabs 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=VRAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "VRAX", "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=VRAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();