TELA Bio (TELA) Total Non-Current Liabilities (2018 - 2026)
TELA Bio's Total Non-Current Liabilities was $74.3 million in Q2 2026, up 30.1% from $57.11 million a year earlier and up 0.8% from the prior quarter.
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Analysis
TELA Bio (TELA) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at TELA Bio came in at $73.63 million, up 29.8% from FY2024.
- Total Non-Current Liabilities shows a four-year compound annual growth rate of 61.0% (FY2021 to FY2025).
- In earlier years, Total Non-Current Liabilities was $56.72 million in FY2024 (-1.3%), $57.48 million in FY2023 (+9.9%), $52.32 million in FY2022 (+377.6%) and $10.96 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities since Q3 2019.
- Compared with a year earlier, Total Non-Current Liabilities has increased for six straight quarters, with growth averaging 12.1% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2022 (growth of 377.6%); the worst was Q4 2024 (a decline of 1.3%).
- Per Business Quant data, TELA's Total Non-Current Liabilities in the three quarters before Q2 2026 was $73.7 million (Q1 2026), $73.63 million (Q4 2025) and $58.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | TELA Bio | 66.03 Mn | -84.50 Mn | 13.94 Mn | 74.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.30 Mn |
| Mar 31, 2026 | 73.70 Mn |
| Dec 31, 2025 | 73.63 Mn |
| Sep 30, 2025 | 58.47 Mn |
| Jun 30, 2025 | 57.11 Mn |
| Mar 31, 2025 | 57.81 Mn |
| Dec 31, 2024 | 56.72 Mn |
| Sep 30, 2024 | 57.83 Mn |
| Jun 30, 2024 | 55.81 Mn |
| Mar 31, 2024 | 55.84 Mn |
| Dec 31, 2023 | 57.48 Mn |
| Sep 30, 2023 | 55.70 Mn |
| Jun 30, 2023 | 53.26 Mn |
| Mar 31, 2023 | 54.47 Mn |
| Dec 31, 2022 | 52.32 Mn |
| Sep 30, 2022 | 54.98 Mn |
| Jun 30, 2022 | 51.54 Mn |
| Mar 31, 2022 | 43.96 Mn |
| Dec 31, 2021 | 10.96 Mn |
| Sep 30, 2021 | 40.69 Mn |
API Access
TELA Bio Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=TELA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=TELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();