Establishment Labs Holdings (ESTA) Total Debt (2017 - 2026)
Establishment Labs Holdings (ESTA) posted Total Debt of $261.7 million for Q2 2026, up 18.3% from $221.13 million a year earlier and up 5.3% from the prior quarter.
Establishment Labs Holdings (ESTA) Total Debt (2017 - 2026) Analysis & Trends
At the end of FY2025, Establishment Labs Holdings' Total Debt came in at $247.52 million, up 12.7% from FY2024.
- Annual Total Debt has increased for five consecutive years, with a five-year compound annual growth rate of 37.8% (FY2020 to FY2025).
- In prior years, Establishment Labs Holdings' Total Debt was $219.58 million in FY2024 (+16.3%), $188.74 million in FY2023 (+7.6%), $175.46 million in FY2022 (+238.0%) and $51.91 million in FY2021 (+4.2%).
- The Q2 2026 figure stands as the highest quarterly Total Debt in data going back to Q4 2017.
- On a year-over-year basis, Total Debt has increased in each of the last 20 quarters, with growth averaging 15.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Debt ranged from 4.0% (Q3 2021) to 240.4% (Q1 2023).
- According to Business Quant data, Total Debt for the three prior quarters was $248.59 million (Q1 2026), $247.52 million (Q4 2025) and $246.46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 41.37 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 31.16 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 26.48 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 14.93 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 11.95 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 598.80 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 12.58 Bn |
| 10 | Establishment Labs Holdings | 2.11 Bn | 1.82 Bn | 49.71 Mn | 267.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 267.82 Mn |
| Jun 30, 2026 | 261.70 Mn |
| Mar 31, 2026 | 248.59 Mn |
| Dec 31, 2025 | 247.52 Mn |
| Sep 30, 2025 | 246.46 Mn |
| Jun 30, 2025 | 221.13 Mn |
| Mar 31, 2025 | 220.34 Mn |
| Dec 31, 2024 | 219.58 Mn |
| Sep 30, 2024 | 194.36 Mn |
| Jun 30, 2024 | 193.73 Mn |
| Mar 31, 2024 | 192.19 Mn |
| Dec 31, 2023 | 188.74 Mn |
| Sep 30, 2023 | 185.32 Mn |
| Jun 30, 2023 | 181.97 Mn |
| Mar 31, 2023 | 178.65 Mn |
| Dec 31, 2022 | 175.46 Mn |
| Sep 30, 2022 | 148.19 Mn |
| Jun 30, 2022 | 145.48 Mn |
| Mar 31, 2022 | 52.49 Mn |
| Dec 31, 2021 | 51.91 Mn |
Establishment Labs Holdings Total Debt 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-debt&ticker=ESTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=ESTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();