Virax Biolabs (VRAX) Inventory (2021 - 2025)
Virax Biolabs (VRAX) reported Inventory of $54,186 for fiscal Q2 2026 (quarter ended Sep 30, 2025), down 56.7% from $125,255 a year earlier.
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Analysis
Virax Biolabs (VRAX) Inventory (2021 - 2025) Analysis & Trends
At the end of FY2025 (ended Mar 31, 2025), Virax Biolabs posted Inventory of $94,675, up 56.8% from FY2024.
- Inventory has a four-year compound annual growth rate of 45.6% (FY2021 to FY2025).
- By fiscal year, Inventory came in at $60,383 in FY2024, $20,951 in FY2022 (-0.6%) and $21,072 in FY2021.
- The fiscal Q2 2026 figure ranks as the lowest quarterly Inventory since fiscal Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 3.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 1.13 Bn |
| 10 | Virax Biolabs | 536,746.51 | -20.76 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 54,186.00 |
| Mar 31, 2025 | 94,675.00 |
| Sep 30, 2024 | 125,255.00 |
| Mar 31, 2024 | 60,383.00 |
| Sep 30, 2023 | 24,508.00 |
| Mar 31, 2022 | 20,951.00 |
| Mar 31, 2021 | 21,072.00 |
API Access
Virax Biolabs Inventory 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=inventory&ticker=VRAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=VRAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();