Invivyd (IVVD) Operating Expenses (2021 - 2026)
Invivyd's Operating Expenses came in at $60.11 million for Q2 2026, up 123.9% from $26.85 million a year earlier.
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Analysis
Invivyd (IVVD) Operating Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Invivyd reported Operating Expenses of $140.87 million, down 11.8% year-over-year; for FY2025, it came in at $108.99 million, down 46.1% from FY2024.
- Operating Expenses has declined in each of the last three years, though with a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $202.26 million in FY2024 (-4.9%), $212.76 million in FY2023 (-14.2%), $248.03 million in FY2022 (+9.3%) and $226.91 million in FY2021 (+247.3%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q3 2024.
- Year-over-year, Operating Expenses increased in two of the last seven quarters, with an average decline of 4.2%.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2022 (growth of 160.2%), and the weakest in Q3 2025 (a decline of 66.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Invivyd | 280.02 Mn | -226.62 Mn | 13.01 Mn | 60.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.11 Mn |
| Dec 31, 2025 | 29.76 Mn |
| Sep 30, 2025 | 24.15 Mn |
| Jun 30, 2025 | 26.85 Mn |
| Mar 31, 2025 | 28.23 Mn |
| Dec 31, 2024 | 33.05 Mn |
| Sep 30, 2024 | 71.61 Mn |
| Jun 30, 2024 | 51.51 Mn |
| Mar 31, 2024 | 46.09 Mn |
| Dec 31, 2023 | 76.75 Mn |
| Sep 30, 2023 | 43.06 Mn |
| Jun 30, 2023 | 53.88 Mn |
| Mar 31, 2023 | 39.07 Mn |
| Dec 31, 2022 | 48.21 Mn |
| Sep 30, 2022 | 47.33 Mn |
| Jun 30, 2022 | 51.75 Mn |
| Mar 31, 2022 | 100.74 Mn |
| Dec 31, 2021 | 83.09 Mn |
| Sep 30, 2021 | 60.42 Mn |
| Jun 30, 2021 | 44.69 Mn |
API Access
Invivyd 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=IVVD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IVVD", "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=IVVD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();