Establishment Labs Holdings (ESTA) Total Liabilities (2017 - 2026)
Establishment Labs Holdings' Total Liabilities came in at $330.32 million for Q2 2026, up 7.6% from $306.91 million a year earlier but down 1.8% from the prior quarter.
Establishment Labs Holdings (ESTA) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Establishment Labs Holdings' Total Liabilities was $333.62 million, up 13.6% from FY2024.
- Total Liabilities has increased in each of the last seven years, with a five-year compound annual growth rate of 32.6% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $293.74 million in FY2024 (+17.4%), $250.25 million in FY2023 (+14.1%), $219.25 million in FY2022 (+146.9%) and $88.79 million in FY2021 (+9.0%).
- The five-year range for quarterly Total Liabilities is $86.8 million (Q3 2021) to $336.25 million (Q1 2026).
- Year-over-year, Total Liabilities has increased for 20 consecutive quarters, with growth averaging 16.8% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 4.1% (Q3 2024) and 146.9% (Q4 2022) over the last five years.
- Business Quant data shows ESTA's Total Liabilities at $336.25 million (Q1 2026), $333.62 million (Q4 2025) and $322.53 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Establishment Labs Holdings | 1.90 Bn | 1.61 Bn | 47.71 Mn | 330.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 330.32 Mn |
| Mar 31, 2026 | 336.25 Mn |
| Dec 31, 2025 | 333.62 Mn |
| Sep 30, 2025 | 322.53 Mn |
| Jun 30, 2025 | 306.91 Mn |
| Mar 31, 2025 | 294.81 Mn |
| Dec 31, 2024 | 293.74 Mn |
| Sep 30, 2024 | 249.98 Mn |
| Jun 30, 2024 | 240.07 Mn |
| Mar 31, 2024 | 244.93 Mn |
| Dec 31, 2023 | 250.25 Mn |
| Sep 30, 2023 | 240.05 Mn |
| Jun 30, 2023 | 230.43 Mn |
| Mar 31, 2023 | 225.36 Mn |
| Dec 31, 2022 | 219.25 Mn |
| Sep 30, 2022 | 186.13 Mn |
| Jun 30, 2022 | 184.02 Mn |
| Mar 31, 2022 | 93.72 Mn |
| Dec 31, 2021 | 88.79 Mn |
| Sep 30, 2021 | 86.80 Mn |
Establishment Labs Holdings Total 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-liabilities&ticker=ESTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ESTA", "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-liabilities&ticker=ESTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();