Establishment Labs Holdings (ESTA) Change in Accrued Expenses (2017 - 2026)
Establishment Labs Holdings' Change in Accrued Expenses came in at $3.5 million for Q3 2026, up 84.9% from $1.89 million a year earlier.
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Analysis
Establishment Labs Holdings (ESTA) Change in Accrued Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Establishment Labs Holdings reported Change in Accrued Expenses of $1.08 million, down 75.6% year-over-year; for FY2025, it was $1.85 million, down 58.0% from FY2024.
- Change in Accrued Expenses carries a five-year compound annual growth rate of -9.9% (FY2020 to FY2025).
- Going back by year, Change in Accrued Expenses was $4.4 million in FY2024, -$1.66 million in FY2023, $2.82 million in FY2022 (-40.4%) and $4.73 million in FY2021 (+52.1%).
- The Q3 2026 figure represents the highest quarterly Change in Accrued Expenses since Q1 2025.
- Year-over-year, Change in Accrued Expenses increased in two of the last four quarters, with growth averaging 21.3%.
- The fastest year-over-year change in Change in Accrued Expenses over five years came in Q3 2024 (growth of 164.4%), and the weakest in Q3 2022 (a decline of 76.6%).
- Business Quant data shows ESTA's Change in Accrued Expenses at -$5.07 million (Q2 2026), $3.34 million (Q1 2026) and -$692,000 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | - |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 30.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 77.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 89.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 67.20 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 255.00 Mn |
| 10 | Establishment Labs Holdings | 2.11 Bn | 1.82 Bn | 49.71 Mn | 3.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.50 Mn |
| Jun 30, 2026 | -5.07 Mn |
| Mar 31, 2026 | 3.34 Mn |
| Dec 31, 2025 | -692,000.00 |
| Sep 30, 2025 | 1.89 Mn |
| Jun 30, 2025 | -3.39 Mn |
| Mar 31, 2025 | 4.04 Mn |
| Dec 31, 2024 | 1.90 Mn |
| Sep 30, 2024 | 2.50 Mn |
| Jun 30, 2024 | -2.85 Mn |
| Mar 31, 2024 | 2.85 Mn |
| Dec 31, 2023 | -2.45 Mn |
| Sep 30, 2023 | 946,000.00 |
| Jun 30, 2023 | -2.40 Mn |
| Mar 31, 2023 | 2.24 Mn |
| Dec 31, 2022 | 123,000.00 |
| Sep 30, 2022 | 1.08 Mn |
| Jun 30, 2022 | -161,000.00 |
| Mar 31, 2022 | 1.78 Mn |
| Dec 31, 2021 | -2.10 Mn |
API Access
Establishment Labs Holdings Change in Accrued Expenses 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=change-in-accured-expenses&ticker=ESTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=ESTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();