Iovance Biotherapeutics (IOVA) Total Liabilities (2010 - 2026)
Iovance Biotherapeutics' Total Liabilities was $179.49 million in Q2 2026, down 14.1% from $208.95 million a year earlier and down 12.0% from the prior quarter.
Iovance Biotherapeutics (IOVA) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Iovance Biotherapeutics came in at $214.59 million, up 7.3% from FY2024.
- Total Liabilities has now increased for ten consecutive years, with a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $200.02 million in FY2024 (+2.2%), $195.74 million in FY2023 (+19.1%), $164.34 million in FY2022 (+5.6%) and $155.67 million in FY2021 (+39.0%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q3 2023.
- Compared with a year earlier, Total Liabilities was higher in four of the last five quarters, with growth averaging 0.5%.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2021 (growth of 85.2%); the worst was Q2 2026 (a decline of 14.1%).
- Per Business Quant data, IOVA's Total Liabilities in the three quarters before Q2 2026 was $203.91 million (Q1 2026), $214.59 million (Q4 2025) and $202.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Iovance Biotherapeutics | 4.98 Bn | 3.77 Bn | 55.72 Mn | 179.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 179.49 Mn |
| Mar 31, 2026 | 203.91 Mn |
| Dec 31, 2025 | 214.59 Mn |
| Sep 30, 2025 | 202.66 Mn |
| Jun 30, 2025 | 208.95 Mn |
| Mar 31, 2025 | 198.88 Mn |
| Dec 31, 2024 | 200.02 Mn |
| Mar 31, 2024 | 189.81 Mn |
| Dec 31, 2023 | 195.74 Mn |
| Sep 30, 2023 | 178.31 Mn |
| Jun 30, 2023 | 178.72 Mn |
| Mar 31, 2023 | 157.89 Mn |
| Dec 31, 2022 | 164.34 Mn |
| Sep 30, 2022 | 152.19 Mn |
| Jun 30, 2022 | 138.19 Mn |
| Mar 31, 2022 | 149.26 Mn |
| Dec 31, 2021 | 155.67 Mn |
| Sep 30, 2021 | 130.50 Mn |
| Jun 30, 2021 | 108.38 Mn |
| Mar 31, 2021 | 103.14 Mn |
Iovance Biotherapeutics 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=IOVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "IOVA", "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=IOVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();