Inovio Pharmaceuticals (INO) Operating Expenses (2010 - 2026)
Inovio Pharmaceuticals' Operating Expenses came in at $18.62 million for Q2 2026, down 19.3% from $23.08 million a year earlier and down 15.2% from the prior quarter.
Inovio Pharmaceuticals (INO) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Inovio Pharmaceuticals reported Operating Expenses of $79.26 million, down 17.5% year-over-year; for FY2025, it came in at $86.89 million, down 22.8% from FY2024.
- Operating Expenses has declined in each of the last four years, with a five-year compound annual growth rate of -8.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $112.62 million in FY2024 (-22.2%), $144.77 million in FY2023 (-47.9%), $277.84 million in FY2022 (-8.3%) and $302.99 million in FY2021 (+130.4%).
- The five-year range for quarterly Operating Expenses is $17.48 million (Q4 2025) to $106.35 million (Q4 2021).
- Year-over-year, Operating Expenses has declined for 16 consecutive quarters, with an average decline of 21.2% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 204.5%), and the weakest in Q2 2023 (a decline of 64.5%).
- Business Quant data shows INO's Operating Expenses at $21.95 million (Q1 2026), $17.48 million (Q4 2025) and $21.21 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Inovio Pharmaceuticals | 99.58 Mn | 99.58 Mn | - | 18.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.62 Mn |
| Mar 31, 2026 | 21.95 Mn |
| Dec 31, 2025 | 17.48 Mn |
| Sep 30, 2025 | 21.21 Mn |
| Jun 30, 2025 | 23.08 Mn |
| Mar 31, 2025 | 25.12 Mn |
| Dec 31, 2024 | 20.49 Mn |
| Sep 30, 2024 | 27.35 Mn |
| Jun 30, 2024 | 33.30 Mn |
| Mar 31, 2024 | 31.48 Mn |
| Dec 31, 2023 | 27.50 Mn |
| Sep 30, 2023 | 35.94 Mn |
| Jun 30, 2023 | 37.27 Mn |
| Mar 31, 2023 | 44.07 Mn |
| Dec 31, 2022 | 56.07 Mn |
| Sep 30, 2022 | 44.91 Mn |
| Jun 30, 2022 | 104.92 Mn |
| Mar 31, 2022 | 71.93 Mn |
| Dec 31, 2021 | 106.35 Mn |
| Sep 30, 2021 | 60.24 Mn |
Inovio Pharmaceuticals 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=INO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "INO", "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=INO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();