TELA Bio (TELA) Total Current Liabilities (2018 - 2026)
TELA Bio (TELA) recorded Total Current Liabilities of $18.22 million in Q2 2026, down 4.4% from $19.06 million a year earlier but up 2.2% from the prior quarter.
TELA Bio (TELA) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, TELA Bio reported Total Current Liabilities of $17.98 million, up 15.2% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 22.2% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $15.6 million in FY2024 (-8.1%), $16.97 million in FY2023 (+36.8%), $12.4 million in FY2022 (+17.3%) and $10.58 million in FY2021 (+60.1%).
- Quarterly Total Current Liabilities has ranged from $9.38 million in Q3 2021 to $19.06 million in Q2 2025 over the past five years.
- On a year-over-year basis, Total Current Liabilities rose in six of the last eight quarters, with growth averaging 7.2%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 117.9% in Q1 2022, against a decline of 8.1% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $17.83 million (Q1 2026), $17.98 million (Q4 2025) and $16.98 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 14.17 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 16.15 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 9.05 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 6.50 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 5.98 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 1.58 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 3.13 Bn |
| 10 | TELA Bio | 46.15 Mn | -97.32 Mn | 12.31 Mn | 72.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 72.86 Mn |
| Jun 30, 2026 | 18.22 Mn |
| Mar 31, 2026 | 17.83 Mn |
| Dec 31, 2025 | 17.98 Mn |
| Sep 30, 2025 | 16.98 Mn |
| Jun 30, 2025 | 19.06 Mn |
| Mar 31, 2025 | 16.54 Mn |
| Dec 31, 2024 | 15.60 Mn |
| Sep 30, 2024 | 16.86 Mn |
| Jun 30, 2024 | 14.99 Mn |
| Mar 31, 2024 | 15.18 Mn |
| Dec 31, 2023 | 16.97 Mn |
| Sep 30, 2023 | 15.33 Mn |
| Jun 30, 2023 | 13.05 Mn |
| Mar 31, 2023 | 14.41 Mn |
| Dec 31, 2022 | 12.40 Mn |
| Sep 30, 2022 | 15.21 Mn |
| Jun 30, 2022 | 11.93 Mn |
| Mar 31, 2022 | 12.29 Mn |
| Dec 31, 2021 | 10.58 Mn |
TELA Bio Total 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-current-liabilities&ticker=TELA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=TELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();