Alcoa (AA) Research & Development (2015 - 2026)
Alcoa's Research & Development came in at $11 million for Q2 2026, down 8.3% from $12 million a year earlier but up 10.0% from the prior quarter.
Alcoa (AA) Research & Development (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Alcoa reported Research & Development of $21 million, down 63.2% year-over-year; for FY2025, it came in at $24 million, down 57.9% from FY2024.
- Research & Development carries a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- Going back by year, Research & Development was $57 million in FY2024 (+46.2%), $39 million in FY2023 (+21.9%), $32 million in FY2022 (+3.2%) and $31 million in FY2021 (+14.8%).
- The five-year range for quarterly Research & Development is -$11 million (Q4 2025) to $17 million (Q4 2024).
- Year-over-year, Research & Development increased in three of the last seven quarters, with growth averaging 6.3%.
- The fastest year-over-year change in Research & Development over five years came in Q2 2024 (growth of 116.7%), and the weakest in Q3 2025 (a decline of 31.3%).
- Business Quant data shows AA's Research & Development at $10 million (Q1 2026), -$11 million (Q4 2025) and $11 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 14.90 Mn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 47.00 Mn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 53.00 Mn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 134.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | - |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | - |
| 10 | Alcoa | 11.15 Bn | 5.43 Bn | 999.00 Mn | 11.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.00 Mn |
| Mar 31, 2026 | 10.00 Mn |
| Dec 31, 2025 | -11.00 Mn |
| Sep 30, 2025 | 11.00 Mn |
| Jun 30, 2025 | 12.00 Mn |
| Mar 31, 2025 | 12.00 Mn |
| Dec 31, 2024 | 17.00 Mn |
| Sep 30, 2024 | 16.00 Mn |
| Jun 30, 2024 | 13.00 Mn |
| Mar 31, 2024 | 11.00 Mn |
| Dec 31, 2023 | 14.00 Mn |
| Sep 30, 2023 | 9.00 Mn |
| Jun 30, 2023 | 6.00 Mn |
| Mar 31, 2023 | 10.00 Mn |
| Dec 31, 2022 | 9.00 Mn |
| Sep 30, 2022 | 7.00 Mn |
| Jun 30, 2022 | 7.00 Mn |
| Mar 31, 2022 | 9.00 Mn |
| Dec 31, 2021 | 10.00 Mn |
| Sep 30, 2021 | 8.00 Mn |
Alcoa 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=AA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "AA", "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=AA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();