iBio (IBIO) Operating Expenses (2010 - 2026)
iBio's Operating Expenses was $11.38 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 110.8% from $5.4 million a year earlier and up 36.0% from the prior quarter.
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Analysis
iBio (IBIO) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Operating Expenses at iBio came in at $35.24 million, up 85.5% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of 1.9% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $19 million in FY2025 (+12.7%), $16.86 million in FY2024 (-42.5%), $29.34 million in FY2023 (-7.1%) and $31.58 million in FY2022 (-1.4%).
- The fiscal Q4 2026 figure marks the highest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- Compared with a year earlier, Operating Expenses has increased for seven straight quarters, with growth averaging 50.2% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2026 (growth of 110.8%); the worst was fiscal Q2 2024 (a decline of 57.5%).
- Per Business Quant data, IBIO's Operating Expenses in the three fiscal quarters before Q4 2026 was $8.37 million (Q3 2026), $9.45 million (Q2 2026) and $6.05 million (Q1 2026).
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 | iBio | 121.75 Mn | 121.75 Mn | - | 11.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.38 Mn |
| Mar 31, 2026 | 8.37 Mn |
| Dec 31, 2025 | 9.45 Mn |
| Sep 30, 2025 | 6.05 Mn |
| Jun 30, 2025 | 5.40 Mn |
| Mar 31, 2025 | 4.88 Mn |
| Dec 31, 2024 | 4.62 Mn |
| Sep 30, 2024 | 4.11 Mn |
| Jun 30, 2024 | 3.58 Mn |
| Mar 31, 2024 | 3.63 Mn |
| Dec 31, 2023 | 4.50 Mn |
| Sep 30, 2023 | 5.15 Mn |
| Jun 30, 2023 | 4.97 Mn |
| Mar 31, 2023 | 6.17 Mn |
| Dec 31, 2022 | 10.57 Mn |
| Sep 30, 2022 | 7.64 Mn |
| Jun 30, 2022 | 10.45 Mn |
| Mar 31, 2022 | 8.59 Mn |
| Dec 31, 2021 | 7.23 Mn |
| Sep 30, 2021 | 5.31 Mn |
API Access
iBio 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=IBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IBIO", "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=IBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();