Establishment Labs Holdings (ESTA) EBITDA (2017 - 2026)
Establishment Labs Holdings' EBITDA came in at -$10.38 million for Q2 2022, compared with -$4.6 million a year earlier.
Establishment Labs Holdings (ESTA) EBITDA (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2022, Establishment Labs Holdings reported EBITDA of -$29.55 million; for FY2019, it was -$30.86 million.
- Going back by year, EBITDA was -$23.77 million in FY2018 and -$19.98 million in FY2017.
- The Q2 2022 figure represents the lowest quarterly EBITDA in data going back to Q1 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Establishment Labs Holdings | 1.88 Bn | 1.60 Bn | 47.71 Mn | 2.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.78 Mn |
| Mar 31, 2026 | -2.96 Mn |
| Dec 31, 2025 | -558,000.00 |
| Sep 30, 2025 | -635,000.00 |
| Jun 30, 2025 | -10.96 Mn |
| Mar 31, 2025 | -13.85 Mn |
| Dec 31, 2024 | -15.77 Mn |
| Sep 30, 2024 | -10.52 Mn |
| Jun 30, 2024 | -6.38 Mn |
| Mar 31, 2024 | -4.12 Mn |
| Dec 31, 2023 | -17.48 Mn |
| Sep 30, 2023 | -16.63 Mn |
| Jun 30, 2023 | -9.44 Mn |
| Mar 31, 2023 | -4.04 Mn |
| Dec 31, 2022 | -9.40 Mn |
| Sep 30, 2022 | -6.83 Mn |
| Jun 30, 2022 | -7.39 Mn |
| Mar 31, 2022 | -4.04 Mn |
| Dec 31, 2021 | -7.88 Mn |
| Sep 30, 2021 | -7.56 Mn |
Establishment Labs Holdings EBITDA 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=ebitda&ticker=ESTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ESTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();