Iovance Biotherapeutics (IOVA) Total Non-Current Liabilities (2011 - 2026)
Iovance Biotherapeutics (IOVA) reported Total Non-Current Liabilities of $72.64 million for Q2 2026, down 9.0% from $79.79 million a year earlier and down 2.5% from the prior quarter.
Iovance Biotherapeutics (IOVA) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Iovance Biotherapeutics posted Total Non-Current Liabilities of $76.23 million, down 1.9% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $77.68 million in FY2024 (-9.1%), $85.43 million in FY2023 (+17.3%), $72.86 million in FY2022 (+9.6%) and $66.47 million in FY2021 (+16.4%).
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q1 2023.
- Year over year, Total Non-Current Liabilities has now declined in each of the last three quarters, with an average decline of 10.1% over the last five quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2021 (growth of 984.1%); the low point was Q1 2025 (a decline of 28.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $74.49 million (Q1 2026), $76.23 million (Q4 2025) and $76.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Iovance Biotherapeutics | 4.98 Bn | 3.77 Bn | 55.72 Mn | 72.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.64 Mn |
| Mar 31, 2026 | 74.49 Mn |
| Dec 31, 2025 | 76.23 Mn |
| Sep 30, 2025 | 76.88 Mn |
| Jun 30, 2025 | 79.79 Mn |
| Mar 31, 2025 | 76.18 Mn |
| Dec 31, 2024 | 77.68 Mn |
| Mar 31, 2024 | 106.59 Mn |
| Dec 31, 2023 | 85.43 Mn |
| Sep 30, 2023 | 87.35 Mn |
| Jun 30, 2023 | 90.08 Mn |
| Mar 31, 2023 | 70.61 Mn |
| Dec 31, 2022 | 72.86 Mn |
| Sep 30, 2022 | 72.94 Mn |
| Jun 30, 2022 | 74.00 Mn |
| Mar 31, 2022 | 72.18 Mn |
| Dec 31, 2021 | 66.47 Mn |
| Sep 30, 2021 | 65.73 Mn |
| Jun 30, 2021 | 47.84 Mn |
| Mar 31, 2021 | 48.08 Mn |
Iovance Biotherapeutics Total Non-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-non-current-liabilities&ticker=IOVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=IOVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();