iBio (IBIO) Total Current Liabilities (2011 - 2026)
iBio (IBIO) recorded Total Current Liabilities of $11.75 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 92.4% from $6.11 million a year earlier and up 80.6% from the prior quarter.
iBio (IBIO) Total Current Liabilities (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, iBio's Total Current Liabilities history includes 58 quarters.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 12.1% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $6.11 million in FY2025 (+59.0%), $3.84 million in FY2024 (-82.6%), $22.11 million in FY2023 (-27.4%) and $30.44 million in FY2022 (+358.0%).
- The fiscal Q4 2026 figure is the highest quarterly Total Current Liabilities since fiscal Q3 2024.
- On a year-over-year basis, Total Current Liabilities has increased for five consecutive quarters, with growth averaging 4.4% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 358.0% in fiscal Q4 2022, against a decline of 83.2% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $6.5 million (Q3 2026), $5.9 million (Q2 2026) and $6.05 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | iBio | 121.75 Mn | 121.75 Mn | - | 11.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.75 Mn |
| Mar 31, 2026 | 6.50 Mn |
| Dec 31, 2025 | 5.90 Mn |
| Sep 30, 2025 | 6.05 Mn |
| Jun 30, 2025 | 6.11 Mn |
| Mar 31, 2025 | 5.40 Mn |
| Dec 31, 2024 | 4.71 Mn |
| Sep 30, 2024 | 3.47 Mn |
| Jun 30, 2024 | 3.84 Mn |
| Mar 31, 2024 | 21.43 Mn |
| Dec 31, 2023 | 21.55 Mn |
| Sep 30, 2023 | 20.71 Mn |
| Jun 30, 2023 | 22.11 Mn |
| Mar 31, 2023 | 22.28 Mn |
| Dec 31, 2022 | 27.78 Mn |
| Sep 30, 2022 | 32.20 Mn |
| Jun 30, 2022 | 30.44 Mn |
| Mar 31, 2022 | 8.28 Mn |
| Dec 31, 2021 | 8.35 Mn |
| Sep 30, 2021 | 8.10 Mn |
iBio Total Current 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-current-liabilities&ticker=IBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=IBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();