Tiziana Life Sciences (TLSA) Accumulated Expenses (2021 - 2025)
Tiziana Life Sciences (TLSA) posted Accumulated Expenses of $1.7 million for Q2 2025, up 17.6% from $1.44 million a year earlier.
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Analysis
Tiziana Life Sciences (TLSA) Accumulated Expenses (2021 - 2025) Analysis & Trends
At the end of FY2024, Tiziana Life Sciences' Accumulated Expenses came in at $1.65 million, down 26.7% from FY2023.
- Annual Accumulated Expenses shows a three-year compound annual growth rate of 22.4% (FY2021 to FY2024).
- In prior years, Tiziana Life Sciences' Accumulated Expenses was $2.25 million in FY2023 (+43.3%), $1.57 million in FY2022 (+74.4%) and $900,000 in FY2021.
- The Q2 2025 figure stands as the highest quarterly Accumulated Expenses since Q4 2023.
- On a year-over-year basis, Accumulated Expenses increased in three of the last four quarters, with growth averaging 27.8%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,168.10 Bn | 1,136.68 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 643.43 Bn | 561.95 Bn | 17.26 Bn |
| 3 | AbbVie | 500.92 Bn | 474.03 Bn | 12.70 Bn |
| 4 | Merck | 360.47 Bn | 314.85 Bn | 12.21 Bn |
| 5 | Novartis Ag | 302.41 Bn | 266.40 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.36 Bn | 241.05 Bn | 12.86 Bn |
| 7 | Amgen | 241.30 Bn | 196.70 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 192.97 Bn | 167.17 Bn | 6.22 Bn |
| 9 | Pfizer | 171.65 Bn | 118.30 Bn | 10.94 Bn |
| 10 | Tiziana Life Sciences | 112.85 Mn | 94.69 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 1.70 Mn |
| Dec 31, 2024 | 1.65 Mn |
| Jun 30, 2024 | 1.44 Mn |
| Dec 31, 2023 | 2.25 Mn |
| Jun 30, 2023 | 816,000.00 |
| Dec 31, 2022 | 1.57 Mn |
| Jun 30, 2022 | 845,000.00 |
| Dec 31, 2021 | 900,000.00 |
| Jun 30, 2021 | 2.50 Mn |
API Access
Tiziana Life Sciences 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=TLSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "TLSA", "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=TLSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();