VivoSim Labs (VIVS) Operating Expenses (2010 - 2026)
VivoSim Labs (VIVS) reported Operating Expenses of $2.78 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 5.9% from $2.95 million a year earlier and down 13.9% from the prior quarter.
VivoSim Labs (VIVS) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, VivoSim Labs' Operating Expenses came in at $11.44 million, down 6.9% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $11.62 million, down 8.9% from FY2025.
- Operating Expenses has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -7.1% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $12.76 million in FY2025 (-16.0%), $15.2 million in FY2024 (-16.1%), $18.1 million in FY2023 (+39.5%) and $12.98 million in FY2022 (-22.9%).
- Five-year quarterly Operating Expenses spans a low of $2.64 million in fiscal Q2 2025 and a high of $7.94 million in fiscal Q4 2023.
- Year over year, Operating Expenses gained in three of the last eight quarters, with an average decline of 9.6%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2023 (growth of 132.7%); the low point was fiscal Q2 2022 (a decline of 60.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $3.23 million (Q4 2026), $2.78 million (Q3 2026) and $2.66 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Iqvia Holdings | 44.17 Bn | 35.87 Bn | 1.44 Bn | 637.00 Mn |
| 2 | Medpace Holdings | 17.45 Bn | 15.51 Bn | 201.64 Mn | 560.51 Mn |
| 3 | Charles River Laboratories International | 14.37 Bn | 13.56 Bn | 363.37 Mn | 228.90 Mn |
| 4 | Icon | 13.16 Bn | 10.27 Bn | 479.29 Mn | 1.93 Bn |
| 5 | Fortrea Holdings | 2.12 Bn | 1.50 Bn | 139.20 Mn | 663.40 Mn |
| 6 | Ginkgo Bioworks Holdings | 625.60 Mn | -136.48 Mn | 18.44 Mn | 78.70 Mn |
| 7 | Evotec SE | 506.10 Mn | -1.10 Bn | - | - |
| 8 | Champions Oncology | 65.60 Mn | 40.68 Mn | 7.70 Mn | 15.64 Mn |
| 9 | MindWalk Holdings | 61.22 Mn | 24.88 Mn | 1.61 Mn | 6.01 Mn |
| 10 | VivoSim Labs | 832,550.47 | -16.89 Mn | - | 2.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.78 Mn |
| Mar 31, 2026 | 3.23 Mn |
| Dec 31, 2025 | 2.78 Mn |
| Sep 30, 2025 | 2.66 Mn |
| Jun 30, 2025 | 2.95 Mn |
| Mar 31, 2025 | 3.21 Mn |
| Dec 31, 2024 | 3.49 Mn |
| Sep 30, 2024 | 2.64 Mn |
| Jun 30, 2024 | 3.43 Mn |
| Mar 31, 2024 | 3.13 Mn |
| Dec 31, 2023 | 3.69 Mn |
| Sep 30, 2023 | 4.12 Mn |
| Jun 30, 2023 | 4.27 Mn |
| Mar 31, 2023 | 7.94 Mn |
| Dec 31, 2022 | 3.49 Mn |
| Sep 30, 2022 | 3.43 Mn |
| Jun 30, 2022 | 3.24 Mn |
| Mar 31, 2022 | 3.41 Mn |
| Dec 31, 2021 | 3.50 Mn |
| Sep 30, 2021 | 3.51 Mn |
VivoSim Labs Operating 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=operating-expenses&ticker=VIVS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "VIVS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=VIVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();