Establishment Labs Holdings (ESTA) Non-Current Debt (2018 - 2026)
Establishment Labs Holdings (ESTA) recorded Non-Current Debt of $261.7 million in Q2 2026, up 18.3% from $221.13 million a year earlier and up 5.3% from the prior quarter.
Establishment Labs Holdings (ESTA) Non-Current Debt (2018 - 2026) Analysis & Trends
At the end of FY2025, Establishment Labs Holdings reported Non-Current Debt of $247.52 million, up 12.7% from FY2024.
- Annual Non-Current Debt has increased for seven straight years, with a five-year compound annual growth rate of 37.8% (FY2020 to FY2025).
- Across earlier years, Non-Current Debt came in at $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 is the highest quarterly Non-Current Debt in data going back to Q2 2018.
- On a year-over-year basis, Non-Current Debt has increased for 20 consecutive quarters, with growth averaging 15.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Non-Current Debt ran from 4.0% in Q3 2021 to 240.4% in Q1 2023.
- Per Business Quant, the preceding three quarters came in at $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) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 13.51 Bn |
| 10 | Establishment Labs Holdings | 1.90 Bn | 1.61 Bn | 47.71 Mn | 261.70 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 51.34 Mn |
Establishment Labs Holdings Non-Current 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=non-current-debt&ticker=ESTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=ESTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();