MAIA Biotechnology (MAIA) Research & Development (2021 - 2026)
MAIA Biotechnology (MAIA) reported Research & Development of $5.64 million for Q2 2026, up 81.3% from $3.11 million a year earlier and up 60.0% from the prior quarter.
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Analysis
MAIA Biotechnology (MAIA) Research & Development (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, MAIA Biotechnology's Research & Development came in at $17.4 million, up 45.7% year-over-year; for FY2025, it came in at $14.55 million, up 45.3% from FY2024.
- Research & Development has a four-year compound annual growth rate of 42.8% (FY2021 to FY2025).
- By year, Research & Development came in at $10.01 million in FY2024 (-9.9%), $11.11 million in FY2023 (+24.4%), $8.93 million in FY2022 (+155.5%) and $3.5 million in FY2021.
- Five-year quarterly Research & Development spans a low of $1.08 million in Q3 2021 and a high of $6.36 million in Q3 2025.
- Year over year, Research & Development gained in six of the last eight quarters, with growth averaging 33.1%.
- The high point for year-over-year Research & Development in five years was Q2 2022 (growth of 229.1%); the low point was Q4 2025 (a decline of 36.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.53 million (Q1 2026), $1.88 million (Q4 2025) and $6.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.25 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 4.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 2.57 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.54 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 3.89 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 2.11 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.61 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.02 Bn |
| 10 | MAIA Biotechnology | 65.45 Mn | -26.56 Mn | - | 5.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.34 Mn |
| Jun 30, 2026 | 5.64 Mn |
| Mar 31, 2026 | 3.53 Mn |
| Dec 31, 2025 | 1.88 Mn |
| Sep 30, 2025 | 6.36 Mn |
| Jun 30, 2025 | 3.11 Mn |
| Mar 31, 2025 | 3.20 Mn |
| Dec 31, 2024 | 2.97 Mn |
| Sep 30, 2024 | 2.67 Mn |
| Jun 30, 2024 | 2.05 Mn |
| Mar 31, 2024 | 2.32 Mn |
| Dec 31, 2023 | 3.72 Mn |
| Sep 30, 2023 | 2.60 Mn |
| Jun 30, 2023 | 2.60 Mn |
| Mar 31, 2023 | 2.20 Mn |
| Dec 31, 2022 | 2.39 Mn |
| Sep 30, 2022 | 2.34 Mn |
| Jun 30, 2022 | 2.12 Mn |
| Mar 31, 2022 | 2.08 Mn |
| Dec 31, 2021 | 1.51 Mn |
API Access
MAIA Biotechnology 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=MAIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "MAIA", "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=MAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();