Nautilus Biotechnology (NAUT) Depreciation and Depletion (2020 - 2026)
Nautilus Biotechnology's Depreciation and Depletion came in at $300,000 for Q2 2026, down 25.0% from $400,000 a year earlier and down 10.2% from the prior quarter.
Nautilus Biotechnology (NAUT) Depreciation and Depletion (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Nautilus Biotechnology reported Depreciation and Depletion of $1.39 million, down 25.4% year-over-year; for FY2025, it was $1.7 million, down 15.0% from FY2024.
- Depreciation and Depletion carries a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $2 million in FY2024 (+8.2%), $1.85 million in FY2023 (+51.9%), $1.22 million in FY2022 (+19.4%) and $1.02 million in FY2021 (+43.5%).
- The five-year range for quarterly Depreciation and Depletion is $219,000 (Q4 2021) to $549,000 (Q4 2023).
- Year-over-year, Depreciation and Depletion has declined for seven consecutive quarters, with an average decline of 17.6% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q4 2023 (growth of 73.2%), and the weakest in Q1 2026 (a decline of 33.2%).
- Business Quant data shows NAUT's Depreciation and Depletion at $334,000 (Q1 2026), $352,000 (Q4 2025) and $400,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 122.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Nautilus Biotechnology | 249.36 Mn | 249.36 Mn | 175,000.00 | 300,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 300,000.00 |
| Mar 31, 2026 | 334,000.00 |
| Dec 31, 2025 | 352,000.00 |
| Sep 30, 2025 | 400,000.00 |
| Jun 30, 2025 | 400,000.00 |
| Mar 31, 2025 | 500,000.00 |
| Dec 31, 2024 | 457,000.00 |
| Sep 30, 2024 | 500,000.00 |
| Jun 30, 2024 | 500,000.00 |
| Mar 31, 2024 | 516,000.00 |
| Dec 31, 2023 | 549,000.00 |
| Sep 30, 2023 | 500,000.00 |
| Jun 30, 2023 | 400,000.00 |
| Mar 31, 2023 | 400,000.00 |
| Dec 31, 2022 | 317,000.00 |
| Sep 30, 2022 | 300,000.00 |
| Jun 30, 2022 | 300,000.00 |
| Mar 31, 2022 | 300,000.00 |
| Dec 31, 2021 | 219,000.00 |
| Sep 30, 2021 | 300,000.00 |
Nautilus Biotechnology Depreciation and Depletion 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=depreciation-and-depletion&ticker=NAUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=NAUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();