TELA Bio (TELA) Interest Expenses (2018 - 2026)
TELA Bio's Interest Expenses was $2.08 million in Q2 2026, up 74.7% from $1.19 million a year earlier and up 1.1% from the prior quarter.
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Analysis
TELA Bio (TELA) Interest Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, TELA Bio's Interest Expenses was $6.97 million through Jun 30, 2026, up 38.4% year-over-year; for FY2025, it came in at $5.25 million, down 0.9% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $5.29 million in FY2024 (+1.3%), $5.22 million in FY2023 (+28.9%), $4.05 million in FY2022 (+12.6%) and $3.6 million in FY2021 (+0.9%).
- The Q2 2026 figure marks the highest quarterly Interest Expenses in data going back to Q3 2018.
- Compared with a year earlier, Interest Expenses has increased for three straight quarters, with growth averaging 17.1% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was Q2 2026 (growth of 74.7%); the worst was Q2 2025 (a decline of 10.7%).
- Per Business Quant data, TELA's Interest Expenses in the three quarters before Q2 2026 was $2.05 million (Q1 2026), $1.64 million (Q4 2025) and $1.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | TELA Bio | 66.03 Mn | -84.50 Mn | 13.94 Mn | 2.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.08 Mn |
| Mar 31, 2026 | 2.05 Mn |
| Dec 31, 2025 | 1.64 Mn |
| Sep 30, 2025 | 1.20 Mn |
| Jun 30, 2025 | 1.19 Mn |
| Mar 31, 2025 | 1.22 Mn |
| Dec 31, 2024 | 1.28 Mn |
| Sep 30, 2024 | 1.34 Mn |
| Jun 30, 2024 | 1.33 Mn |
| Mar 31, 2024 | 1.33 Mn |
| Dec 31, 2023 | 1.35 Mn |
| Sep 30, 2023 | 1.33 Mn |
| Jun 30, 2023 | 1.30 Mn |
| Mar 31, 2023 | 1.25 Mn |
| Dec 31, 2022 | 1.17 Mn |
| Sep 30, 2022 | 1.03 Mn |
| Jun 30, 2022 | 934,000.00 |
| Mar 31, 2022 | 911,000.00 |
| Dec 31, 2021 | 922,000.00 |
| Sep 30, 2021 | 922,000.00 |
API Access
TELA Bio 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=TELA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "TELA", "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=TELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();