Alcon (ALC) Research & Development (2009 - 2026)
Alcon's Research & Development was $663 million in Q2 2026, up 170.6% from $245 million a year earlier and up 170.6% from the prior quarter.
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Analysis
Alcon (ALC) Research & Development (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Alcon's Research & Development was $1.43 billion through Jun 30, 2026, up 54.9% year-over-year; for FY2025, it came in at $990 million, up 13.0% from FY2024.
- Research & Development has now increased for three consecutive years, with a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- In earlier years, Research & Development was $876 million in FY2024 (+5.8%), $828 million in FY2023 (+17.9%), $702 million in FY2022 (-16.6%) and $842 million in FY2021 (+25.1%).
- The Q2 2026 figure marks the highest quarterly Research & Development in data going back to Q1 2009.
- Compared with a year earlier, Research & Development has increased for nine straight quarters, with growth averaging 32.0% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q2 2026 (growth of 170.6%); the worst was Q3 2022 (a decline of 50.0%).
- Per Business Quant data, ALC's Research & Development in the three quarters before Q2 2026 was $245 million (Q1 2026), $273 million (Q4 2025) and $250 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 348.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 920.00 Mn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 433.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 408.30 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 433.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 520.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 281.40 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | - |
| 10 | Alcon | 36.19 Bn | 26.91 Bn | 1.62 Bn | 261.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 261.00 Mn |
| Jun 30, 2026 | 663.00 Mn |
| Mar 31, 2026 | 245.00 Mn |
| Dec 31, 2025 | 273.00 Mn |
| Sep 30, 2025 | 250.00 Mn |
| Jun 30, 2025 | 245.00 Mn |
| Mar 31, 2025 | 222.00 Mn |
| Dec 31, 2024 | 232.00 Mn |
| Sep 30, 2024 | 225.00 Mn |
| Jun 30, 2024 | 220.00 Mn |
| Mar 31, 2024 | 199.00 Mn |
| Dec 31, 2023 | 208.00 Mn |
| Sep 30, 2023 | 201.00 Mn |
| Jun 30, 2023 | 217.00 Mn |
| Mar 31, 2023 | 202.00 Mn |
| Dec 31, 2022 | 196.00 Mn |
| Sep 30, 2022 | 159.00 Mn |
| Jun 30, 2022 | 181.00 Mn |
| Mar 31, 2022 | 166.00 Mn |
| Dec 31, 2021 | 180.00 Mn |
API Access
Alcon Research & Development 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=research-and-development&ticker=ALC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "ALC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=research-and-development&ticker=ALC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();