Nautilus Biotechnology (NAUT) Long-Term Investments (2020 - 2026)
Nautilus Biotechnology (NAUT) posted Long-Term Investments of $45.16 million for Q2 2026, up 42.7% from $31.64 million a year earlier but down 4.9% from the prior quarter.
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Analysis
Nautilus Biotechnology (NAUT) Long-Term Investments (2020 - 2026) Analysis & Trends
At the end of FY2025, Nautilus Biotechnology's Long-Term Investments came in at $52.74 million, down 31.0% from FY2024.
- Annual Long-Term Investments has declined for three consecutive years, though with a four-year compound annual growth rate of 34.0% (FY2021 to FY2025).
- In prior years, Nautilus Biotechnology's Long-Term Investments was $76.41 million in FY2024 (-15.7%), $90.65 million in FY2023 (-29.8%), $129.17 million in FY2022 (+689.0%) and $16.37 million in FY2021.
- Quarterly Long-Term Investments has run from a low of $16.37 million in Q4 2021 to a high of $134.64 million in Q1 2023 over five years.
- On a year-over-year basis, Long-Term Investments increased in 1 of the last eight quarters, with an average decline of 19.1%.
- The strongest year-over-year quarter for Long-Term Investments in the past five years was Q4 2022, with growth of 689.0%; the weakest was Q1 2022, with a decline of 83.3%.
- According to Business Quant data, Long-Term Investments for the three prior quarters was $47.51 million (Q1 2026), $52.74 million (Q4 2025) and $37.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 1.11 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 3.41 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | - |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 2.25 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 244.10 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | - |
| 10 | Nautilus Biotechnology | 199.74 Mn | 199.74 Mn | 175,000.00 | 45.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.16 Mn |
| Mar 31, 2026 | 47.51 Mn |
| Dec 31, 2025 | 52.74 Mn |
| Sep 30, 2025 | 37.06 Mn |
| Jun 30, 2025 | 31.64 Mn |
| Mar 31, 2025 | 54.02 Mn |
| Dec 31, 2024 | 76.41 Mn |
| Sep 30, 2024 | 80.62 Mn |
| Jun 30, 2024 | 65.47 Mn |
| Mar 31, 2024 | 66.29 Mn |
| Dec 31, 2023 | 90.65 Mn |
| Sep 30, 2023 | 92.44 Mn |
| Jun 30, 2023 | 123.43 Mn |
| Mar 31, 2023 | 134.64 Mn |
| Dec 31, 2022 | 129.17 Mn |
| Sep 30, 2022 | 65.68 Mn |
| Jun 30, 2022 | 35.56 Mn |
| Mar 31, 2022 | 24.92 Mn |
| Dec 31, 2021 | 16.37 Mn |
| Sep 30, 2021 | 26.63 Mn |
API Access
Nautilus Biotechnology Long-Term Investments 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=long-term-investments&ticker=NAUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=NAUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();