Align Technology (ALGN) EBITDA (2009 - 2026)
Align Technology (ALGN) posted EBITDA of $194.14 million for Q2 2026, down 4.6% from $203.61 million a year earlier and down 2.2% from the prior quarter.
Align Technology (ALGN) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Align Technology was $801.98 million, up 6.1% year-over-year; for FY2025, it came in at $783.19 million, up 4.1% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- In prior years, Align Technology's EBITDA was $752.66 million in FY2024 (-4.2%), $785.74 million in FY2023 (+2.3%), $768.39 million in FY2022 (-29.2%) and $1.09 billion in FY2021 (+125.7%).
- Quarterly EBITDA has run from a low of $146.36 million in Q4 2022 to a high of $288.77 million in Q3 2021 over five years.
- On a year-over-year basis, EBITDA increased in three of the last eight quarters, with growth averaging 2.3%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2021, with growth of 43.3%; the weakest was Q4 2022, with a decline of 41.6%.
- According to Business Quant data, EBITDA for the three prior quarters was $198.5 million (Q1 2026), $257.32 million (Q4 2025) and $152.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Align Technology | 10.74 Bn | 6.48 Bn | 757.43 Mn | 194.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 194.14 Mn |
| Mar 31, 2026 | 198.50 Mn |
| Dec 31, 2025 | 257.32 Mn |
| Sep 30, 2025 | 152.02 Mn |
| Jun 30, 2025 | 203.61 Mn |
| Mar 31, 2025 | 170.25 Mn |
| Dec 31, 2024 | 182.28 Mn |
| Sep 30, 2024 | 200.09 Mn |
| Jun 30, 2024 | 183.21 Mn |
| Mar 31, 2024 | 187.08 Mn |
| Dec 31, 2023 | 205.28 Mn |
| Sep 30, 2023 | 203.38 Mn |
| Jun 30, 2023 | 207.75 Mn |
| Mar 31, 2023 | 169.34 Mn |
| Dec 31, 2022 | 146.36 Mn |
| Sep 30, 2022 | 175.85 Mn |
| Jun 30, 2022 | 218.48 Mn |
| Mar 31, 2022 | 227.71 Mn |
| Dec 31, 2021 | 250.48 Mn |
| Sep 30, 2021 | 288.77 Mn |
Align Technology 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=ALGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "ALGN", "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=ALGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();