iBio (IBIO) EPS (Diluted) (2010 - 2026)
iBio (IBIO) reported EPS (Diluted) of -$0.10 for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with -$0.49 a year earlier.
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Analysis
iBio (IBIO) EPS (Diluted) (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), iBio posted EPS (Diluted) of -$0.32.
- By fiscal year, EPS (Diluted) came in at -$1.75 in FY2025, -$6.50 in FY2024, -$106.18 in FY2023 and -$115.56 in FY2022.
- Five-year quarterly EPS (Diluted) spans a low of -$68.43 in fiscal Q2 2023 and a high of -$0.06 in fiscal Q3 2026.
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at -$0.06 (Q3 2026), -$0.12 (Q2 2026) and -$0.11 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 2.27 |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.04 |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -0.54 |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 1.67 |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 1.85 |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 4.37 |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -8.44 |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -0.04 |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 4.31 |
| 10 | iBio | 121.75 Mn | 121.75 Mn | - | -0.10 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.10 |
| Mar 31, 2026 | -0.06 |
| Dec 31, 2025 | -0.12 |
| Sep 30, 2025 | -0.11 |
| Jun 30, 2025 | -0.49 |
| Mar 31, 2025 | -0.49 |
| Dec 31, 2024 | -0.48 |
| Sep 30, 2024 | -0.46 |
| Jun 30, 2024 | -2.03 |
| Mar 31, 2024 | -0.85 |
| Dec 31, 2023 | -4.42 |
| Sep 30, 2023 | -4.79 |
| Jun 30, 2023 | -9.85 |
| Mar 31, 2023 | -11.06 |
| Dec 31, 2022 | -68.43 |
| Sep 30, 2022 | -17.05 |
| Jun 30, 2022 | -39.11 |
| Mar 31, 2022 | -28.42 |
| Dec 31, 2021 | -27.41 |
| Sep 30, 2021 | -12.06 |
API Access
iBio EPS (Diluted) 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=eps-diluted&ticker=IBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=IBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();