Iovance Biotherapeutics (IOVA) Accumulated Expenses (2013 - 2026)
Iovance Biotherapeutics (IOVA) posted Accumulated Expenses of $77.96 million for Q2 2026, down 12.5% from $89.08 million a year earlier and down 11.5% from the prior quarter.
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Analysis
Iovance Biotherapeutics (IOVA) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Iovance Biotherapeutics' Accumulated Expenses came in at $111.16 million, up 35.7% from FY2024.
- Annual Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 25.9% (FY2020 to FY2025).
- In prior years, Iovance Biotherapeutics' Accumulated Expenses was $81.94 million in FY2024 (+18.1%), $69.41 million in FY2023 (+32.7%), $52.3 million in FY2022 (-7.9%) and $56.77 million in FY2021 (+61.8%).
- The Q2 2026 figure stands as the lowest quarterly Accumulated Expenses since Q1 2024.
- On a year-over-year basis, Accumulated Expenses increased in four of the last five quarters, with growth averaging 25.5%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2025, with growth of 82.4%; the weakest was Q2 2026, with a decline of 12.5%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $88.07 million (Q1 2026), $111.16 million (Q4 2025) and $87.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Iovance Biotherapeutics | 4.98 Bn | 3.77 Bn | 55.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.96 Mn |
| Mar 31, 2026 | 88.07 Mn |
| Dec 31, 2025 | 111.16 Mn |
| Sep 30, 2025 | 87.27 Mn |
| Jun 30, 2025 | 89.08 Mn |
| Mar 31, 2025 | 84.71 Mn |
| Dec 31, 2024 | 81.94 Mn |
| Mar 31, 2024 | 46.44 Mn |
| Dec 31, 2023 | 69.41 Mn |
| Sep 30, 2023 | 61.21 Mn |
| Jun 30, 2023 | 46.62 Mn |
| Mar 31, 2023 | 43.09 Mn |
| Dec 31, 2022 | 52.30 Mn |
| Sep 30, 2022 | 47.82 Mn |
| Jun 30, 2022 | 37.70 Mn |
| Mar 31, 2022 | 48.91 Mn |
| Dec 31, 2021 | 56.77 Mn |
| Sep 30, 2021 | 45.97 Mn |
| Jun 30, 2021 | 34.19 Mn |
| Mar 31, 2021 | 35.77 Mn |
API Access
Iovance Biotherapeutics Accumulated Expenses 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=accumulated-expenses&ticker=IOVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=IOVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();