Inovio Pharmaceuticals (INO) Total Liabilities (2010 - 2026)
Inovio Pharmaceuticals' Total Liabilities was $45.02 million in Q2 2026, up 13.4% from $39.71 million a year earlier and up 3.0% from the prior quarter.
Inovio Pharmaceuticals (INO) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Inovio Pharmaceuticals came in at $50.21 million, up 12.4% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -8.6% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $44.69 million in FY2024 (-16.6%), $53.6 million in FY2023 (-57.5%), $126.17 million in FY2022 (+31.1%) and $96.27 million in FY2021 (+22.4%).
- Quarterly Total Liabilities has moved between $33.52 million (Q3 2024) and $161.73 million (Q2 2022) over five years.
- Compared with a year earlier, Total Liabilities has increased for six straight quarters, with growth averaging 16.6% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2025 (growth of 130.0%); the worst was Q2 2023 (a decline of 60.6%).
- Per Business Quant data, INO's Total Liabilities in the three quarters before Q2 2026 was $43.71 million (Q1 2026), $50.21 million (Q4 2025) and $77.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Inovio Pharmaceuticals | 68.56 Mn | -115.11 Mn | - | 45.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.02 Mn |
| Mar 31, 2026 | 43.71 Mn |
| Dec 31, 2025 | 50.21 Mn |
| Sep 30, 2025 | 77.11 Mn |
| Jun 30, 2025 | 39.71 Mn |
| Mar 31, 2025 | 36.02 Mn |
| Dec 31, 2024 | 44.69 Mn |
| Sep 30, 2024 | 33.52 Mn |
| Jun 30, 2024 | 37.06 Mn |
| Mar 31, 2024 | 34.67 Mn |
| Dec 31, 2023 | 53.60 Mn |
| Sep 30, 2023 | 54.94 Mn |
| Jun 30, 2023 | 63.67 Mn |
| Mar 31, 2023 | 67.37 Mn |
| Dec 31, 2022 | 126.17 Mn |
| Sep 30, 2022 | 125.27 Mn |
| Jun 30, 2022 | 161.73 Mn |
| Mar 31, 2022 | 90.43 Mn |
| Dec 31, 2021 | 96.27 Mn |
| Sep 30, 2021 | 82.19 Mn |
Inovio Pharmaceuticals 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=INO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=INO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();