Align Technology (ALGN) Operating Expenses (2009 - 2026)
Align Technology's Operating Expenses was $603.42 million in Q2 2026, up 10.7% from $545.08 million a year earlier and up 1.5% from the prior quarter.
Align Technology (ALGN) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Align Technology's Operating Expenses was $2.27 billion through Jun 30, 2026, up 4.7% year-over-year; for FY2025, it was $2.17 billion, down 1.2% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $2.19 billion in FY2024 (+6.2%), $2.06 billion in FY2023 (+3.6%), $1.99 billion in FY2022 (+1.6%) and $1.96 billion in FY2021 (+42.4%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q2 2009.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 3.8%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2021 (growth of 38.4%); the worst was Q2 2025 (a decline of 5.3%).
- Per Business Quant data, ALGN's Operating Expenses in the three quarters before Q2 2026 was $594.63 million (Q1 2026), $528.26 million (Q4 2025) and $542.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Align Technology | 10.33 Bn | 6.07 Bn | 757.43 Mn | 603.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 603.42 Mn |
| Mar 31, 2026 | 594.63 Mn |
| Dec 31, 2025 | 528.26 Mn |
| Sep 30, 2025 | 542.90 Mn |
| Jun 30, 2025 | 545.08 Mn |
| Mar 31, 2025 | 549.01 Mn |
| Dec 31, 2024 | 552.79 Mn |
| Sep 30, 2024 | 519.48 Mn |
| Jun 30, 2024 | 575.58 Mn |
| Mar 31, 2024 | 543.68 Mn |
| Dec 31, 2023 | 497.98 Mn |
| Sep 30, 2023 | 496.73 Mn |
| Jun 30, 2023 | 541.68 Mn |
| Mar 31, 2023 | 527.14 Mn |
| Dec 31, 2022 | 505.04 Mn |
| Sep 30, 2022 | 475.51 Mn |
| Jun 30, 2022 | 499.36 Mn |
| Mar 31, 2022 | 511.26 Mn |
| Dec 31, 2021 | 523.67 Mn |
| Sep 30, 2021 | 494.00 Mn |
Align Technology Operating 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=operating-expenses&ticker=ALGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ALGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();