iBio (IBIO) Total Liabilities (2011 - 2026)
iBio's Total Liabilities came in at $13.4 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 61.3% from $8.31 million a year earlier and up 61.5% from the prior quarter.
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Analysis
iBio (IBIO) Total Liabilities (2011 - 2026) Analysis & Trends
Going back to fiscal Q4 2011, iBio's Total Liabilities data covers 61 quarters.
- Total Liabilities carries a five-year compound annual growth rate of -19.0% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $8.31 million in FY2025 (+12.1%), $7.41 million in FY2024 (-71.3%), $25.83 million in FY2023 (-28.1%) and $35.92 million in FY2022 (-6.5%).
- The fiscal Q4 2026 figure represents the highest quarterly Total Liabilities since fiscal Q3 2024.
- Year-over-year, Total Liabilities has increased for five consecutive quarters, with an average decline of 13.6% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2026 (growth of 61.3%), and the weakest in fiscal Q1 2025 (a decline of 72.4%).
- Business Quant data shows IBIO's Total Liabilities at $8.3 million (Q3 2026), $7.83 million (Q2 2026) and $8.12 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 115.64 Bn |
| 10 | iBio | 87.41 Mn | -177.80 Mn | - | 13.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.40 Mn |
| Mar 31, 2026 | 8.30 Mn |
| Dec 31, 2025 | 7.83 Mn |
| Sep 30, 2025 | 8.12 Mn |
| Jun 30, 2025 | 8.31 Mn |
| Mar 31, 2025 | 7.72 Mn |
| Dec 31, 2024 | 7.80 Mn |
| Sep 30, 2024 | 6.76 Mn |
| Jun 30, 2024 | 7.41 Mn |
| Mar 31, 2024 | 25.29 Mn |
| Dec 31, 2023 | 24.83 Mn |
| Sep 30, 2023 | 24.47 Mn |
| Jun 30, 2023 | 25.83 Mn |
| Mar 31, 2023 | 27.00 Mn |
| Dec 31, 2022 | 32.98 Mn |
| Sep 30, 2022 | 36.20 Mn |
| Jun 30, 2022 | 35.92 Mn |
| Mar 31, 2022 | 35.99 Mn |
| Dec 31, 2021 | 35.85 Mn |
| Sep 30, 2021 | 43.21 Mn |
API Access
iBio Total Liabilities 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=total-liabilities&ticker=IBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=IBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();