Nautilus Biotechnology (NAUT) Accounts Payables (2020 - 2026)
Nautilus Biotechnology (NAUT) posted Accounts Payables of $1.1 million for Q2 2026, up 12.4% from $974,000 a year earlier but down 7.7% from the prior quarter.
Nautilus Biotechnology (NAUT) Accounts Payables (2020 - 2026) Analysis & Trends
At the end of FY2025, Nautilus Biotechnology's Accounts Payables came in at $943,000, down 4.5% from FY2024.
- Annual Accounts Payables shows a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- In prior years, Nautilus Biotechnology's Accounts Payables was $987,000 in FY2024 (-39.8%), $1.64 million in FY2023 (+28.9%), $1.27 million in FY2022 (-26.2%) and $1.72 million in FY2021 (+266.6%).
- Quarterly Accounts Payables has run from a low of $823,000 in Q3 2022 to a high of $1.86 million in Q1 2024 over five years.
- On a year-over-year basis, Accounts Payables increased in three of the last eight quarters, with an average decline of 11.9%.
- The strongest year-over-year quarter for Accounts Payables in the past five years was Q4 2021, with growth of 266.6%; the weakest was Q1 2025, with a decline of 54.8%.
- According to Business Quant data, Accounts Payables for the three prior quarters was $1.19 million (Q1 2026), $943,000 (Q4 2025) and $893,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 210.50 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 6.11 Bn |
| 10 | Nautilus Biotechnology | 180.66 Mn | 180.66 Mn | 175,000.00 | 1.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.10 Mn |
| Mar 31, 2026 | 1.19 Mn |
| Dec 31, 2025 | 943,000.00 |
| Sep 30, 2025 | 893,000.00 |
| Jun 30, 2025 | 974,000.00 |
| Mar 31, 2025 | 841,000.00 |
| Dec 31, 2024 | 987,000.00 |
| Sep 30, 2024 | 1.49 Mn |
| Jun 30, 2024 | 1.63 Mn |
| Mar 31, 2024 | 1.86 Mn |
| Dec 31, 2023 | 1.64 Mn |
| Sep 30, 2023 | 1.14 Mn |
| Jun 30, 2023 | 1.22 Mn |
| Mar 31, 2023 | 1.27 Mn |
| Dec 31, 2022 | 1.27 Mn |
| Sep 30, 2022 | 823,000.00 |
| Jun 30, 2022 | 1.43 Mn |
| Mar 31, 2022 | 1.49 Mn |
| Dec 31, 2021 | 1.72 Mn |
| Sep 30, 2021 | 1.50 Mn |
Nautilus Biotechnology Accounts Payables 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=accounts-payables&ticker=NAUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=NAUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();