TELA Bio (TELA) Net Long-Term Debt Issued (Repaid) (2018)
TELA Bio (TELA) recorded Non-Current Debt of $56.08 million in Q2 2026, up 47.4% from $38.05 million a year earlier and up 0.4% from the prior quarter.
TELA Bio (TELA) Net Long-Term Debt Issued (Repaid) (2018) Analysis & Trends
At the end of FY2025, TELA Bio reported Non-Current Debt of $55.65 million, up 35.3% from FY2024.
- Annual Non-Current Debt has increased for three straight years, with a three-year compound annual growth rate of 11.7% (FY2022 to FY2025).
- Across earlier years, Non-Current Debt came in at $41.12 million in FY2024 (+1.5%), $40.52 million in FY2023 (+1.5%) and $39.92 million in FY2022.
- The Q2 2026 figure is the highest quarterly Non-Current Debt in data going back to Q2 2022.
- On a year-over-year basis, Non-Current Debt has increased for four consecutive quarters, with growth averaging 14.6% over the last eight quarters.
- Peak year-over-year performance for Non-Current Debt in the last five years was growth of 47.4% in Q2 2026, against a decline of 6.8% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $55.87 million (Q1 2026), $55.65 million (Q4 2025) and $41.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | -1.11 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | -1.33 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | - |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | -7.00 Mn |
| 10 | TELA Bio | 46.15 Mn | -97.32 Mn | 12.31 Mn | - |
TELA Bio Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=TELA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=TELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();