Innoviva (INVA) Operating Expenses (2010 - 2026)
Innoviva (INVA) reported Operating Expenses of $39.76 million for Q2 2026, up 15.6% from $34.4 million a year earlier and up 5.5% from the prior quarter.
Innoviva (INVA) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Innoviva's Operating Expenses came in at $155.08 million, up 18.3% year-over-year; for FY2025, it was $143.92 million, up 11.3% from FY2024.
- By year, Operating Expenses came in at $129.34 million in FY2024 (-2.1%), $132.15 million in FY2023 (+197.7%), $44.39 million in FY2022 and -$53.41 million in FY2021.
- Five-year quarterly Operating Expenses spans a low of -$219.17 million in Q4 2022 and a high of $87.73 million in Q2 2022.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 13.8% over the last six quarters.
- The high point for year-over-year Operating Expenses in five years was Q1 2022 (growth of 651.3%); the low point was Q2 2024 (a decline of 59.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $37.68 million (Q1 2026), $36.68 million (Q4 2025) and $40.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Innoviva | 1.56 Bn | -726.89 Mn | 90.62 Mn | 39.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.76 Mn |
| Mar 31, 2026 | 37.68 Mn |
| Dec 31, 2025 | 36.68 Mn |
| Sep 30, 2025 | 40.96 Mn |
| Jun 30, 2025 | 34.40 Mn |
| Mar 31, 2025 | 31.89 Mn |
| Dec 31, 2024 | 34.99 Mn |
| Sep 30, 2024 | 29.77 Mn |
| Jun 30, 2024 | 30.30 Mn |
| Mar 31, 2024 | 34.28 Mn |
| Sep 30, 2023 | -18.69 Mn |
| Jun 30, 2023 | 75.19 Mn |
| Mar 31, 2023 | 35.23 Mn |
| Sep 30, 2022 | -219.17 Mn |
| Jun 30, 2022 | 87.73 Mn |
| Mar 31, 2022 | 45.34 Mn |
| Dec 31, 2021 | 51.19 Mn |
| Sep 30, 2021 | -25.32 Mn |
| Jun 30, 2021 | 4.27 Mn |
| Mar 31, 2021 | 6.04 Mn |
Innoviva 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=INVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "INVA", "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=INVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();