Nautilus Biotechnology (NAUT) Research & Development (2020 - 2026)
Nautilus Biotechnology's Research & Development was $9.61 million in Q2 2026, down 7.5% from $10.39 million a year earlier and down 1.0% from the prior quarter.
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Analysis
Nautilus Biotechnology (NAUT) Research & Development (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nautilus Biotechnology's Research & Development was $38.5 million through Jun 30, 2026, down 18.2% year-over-year; for FY2025, it was $41.11 million, down 18.6% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 27.0% (FY2020 to FY2025).
- In earlier years, Research & Development was $50.48 million in FY2024 (+6.8%), $47.25 million in FY2023 (+25.4%), $37.67 million in FY2022 (+28.3%) and $29.35 million in FY2021 (+136.1%).
- Quarterly Research & Development has moved between $8.24 million (Q3 2021) and $12.93 million (Q1 2024) over five years.
- Compared with a year earlier, Research & Development has declined for six straight quarters, with an average decline of 11.6% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q4 2021 (growth of 154.1%); the worst was Q4 2025 (a decline of 25.3%).
- Per Business Quant data, NAUT's Research & Development in the three quarters before Q2 2026 was $9.71 million (Q1 2026), $9.58 million (Q4 2025) and $9.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 258.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 278.90 Mn |
| 10 | Nautilus Biotechnology | 141.22 Mn | 141.22 Mn | 175,000.00 | 9.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.61 Mn |
| Mar 31, 2026 | 9.71 Mn |
| Dec 31, 2025 | 9.58 Mn |
| Sep 30, 2025 | 9.61 Mn |
| Jun 30, 2025 | 10.39 Mn |
| Mar 31, 2025 | 11.54 Mn |
| Dec 31, 2024 | 12.82 Mn |
| Sep 30, 2024 | 12.29 Mn |
| Jun 30, 2024 | 12.44 Mn |
| Mar 31, 2024 | 12.93 Mn |
| Dec 31, 2023 | 12.47 Mn |
| Sep 30, 2023 | 12.00 Mn |
| Jun 30, 2023 | 11.91 Mn |
| Mar 31, 2023 | 10.88 Mn |
| Dec 31, 2022 | 9.59 Mn |
| Sep 30, 2022 | 9.57 Mn |
| Jun 30, 2022 | 8.86 Mn |
| Mar 31, 2022 | 9.66 Mn |
| Dec 31, 2021 | 9.89 Mn |
| Sep 30, 2021 | 8.24 Mn |
API Access
Nautilus 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=NAUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "NAUT", "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=NAUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();