Virax Biolabs (VRAX) Accumulated Expenses (2021 - 2026)
Virax Biolabs (VRAX) recorded Accumulated Expenses of $157,662 in fiscal Q4 2026 (quarter ended Mar 31, 2026), up 24.6% from $126,543 a year earlier.
Powered by 
Analysis
Virax Biolabs (VRAX) Accumulated Expenses (2021 - 2026) Analysis & Trends
Starting with fiscal Q4 2021, Virax Biolabs' Accumulated Expenses history includes 6 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -10.8% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $126,543 in FY2025 (+100.5%), $63,120 in FY2024 (-48.3%), $121,991 in FY2023 (-54.7%) and $268,999 in FY2022 (-3.8%).
- The fiscal Q4 2026 figure is the highest quarterly Accumulated Expenses since fiscal Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Virax Biolabs | 866,746.23 | -20.67 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 157,662.00 |
| Mar 31, 2025 | 126,543.00 |
| Mar 31, 2024 | 63,120.00 |
| Mar 31, 2023 | 121,991.00 |
| Mar 31, 2022 | 268,999.00 |
| Mar 31, 2021 | 279,481.00 |
API Access
Virax Biolabs 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=accumulated-expenses&ticker=VRAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=VRAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();