Telomir Pharmaceuticals (TELO) Interest Expenses (2023 - 2026)
Telomir Pharmaceuticals (TELO) posted Interest Expenses of $3,028 for Q2 2026, up 125.6% from $1,342 a year earlier.
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Analysis
Telomir Pharmaceuticals (TELO) Interest Expenses (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Telomir Pharmaceuticals was $4,369, up 225.8% year-over-year; for FY2024, it came in at $4.34 million, up 164.1% from FY2023.
- In prior years, Telomir Pharmaceuticals' Interest Expenses was $1.64 million in FY2023.
- The Q2 2026 figure stands as the highest quarterly Interest Expenses since Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | - |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Telomir Pharmaceuticals | 62.66 Mn | 42.09 Mn | - | 3,028.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3,028.00 |
| Jun 30, 2025 | 1,342.00 |
| Dec 31, 2024 | -1.00 |
| Sep 30, 2024 | 1.00 |
| Jun 30, 2024 | -1.00 |
| Mar 31, 2024 | 4.34 Mn |
| Dec 31, 2023 | 761,824.00 |
| Sep 30, 2023 | 757,173.00 |
| Jun 30, 2023 | 124,052.00 |
API Access
Telomir Pharmaceuticals Interest 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=interest-expenses&ticker=TELO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "TELO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=TELO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();