10x Genomics (TXG) Depreciation and Depletion (2019 - 2025)
10x Genomics' Depreciation and Depletion was $25.62 million in Q4 2025, down 8.1% from $27.89 million a year earlier.
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Analysis
10x Genomics (TXG) Depreciation and Depletion (2019 - 2025) Analysis & Trends
For FY2025, Depreciation and Depletion at 10x Genomics came in at $31.2 million, down 8.0% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of 20.5% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $33.9 million in FY2024 (+3.0%), $32.9 million in FY2023 (+44.3%), $22.8 million in FY2022 (+23.2%) and $18.5 million in FY2021 (+50.4%).
- Quarterly Depreciation and Depletion has moved between $1.58 million (Q3 2021) and $27.89 million (Q4 2024) over five years.
- Compared with a year earlier, Depreciation and Depletion was higher in three of the last eight quarters, with an average decline of 3.4%.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q2 2021 (growth of 99.0%); the worst was Q1 2025 (a decline of 22.1%).
- Per Business Quant data, TXG's Depreciation and Depletion in the three quarters before Q4 2025 was $1.95 million (Q3 2025), $1.84 million (Q2 2025) and $1.79 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 122.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | - |
| 10 | 10x Genomics | 11.56 Bn | 11.37 Bn | 112.50 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 25.62 Mn |
| Sep 30, 2025 | 1.95 Mn |
| Jun 30, 2025 | 1.84 Mn |
| Mar 31, 2025 | 1.79 Mn |
| Dec 31, 2024 | 27.89 Mn |
| Sep 30, 2024 | 1.79 Mn |
| Jun 30, 2024 | 1.93 Mn |
| Mar 31, 2024 | 2.30 Mn |
| Dec 31, 2023 | 26.78 Mn |
| Sep 30, 2023 | 2.05 Mn |
| Jun 30, 2023 | 1.94 Mn |
| Mar 31, 2023 | 2.13 Mn |
| Dec 31, 2022 | 17.11 Mn |
| Sep 30, 2022 | 1.96 Mn |
| Jun 30, 2022 | 1.94 Mn |
| Mar 31, 2022 | 1.78 Mn |
| Dec 31, 2021 | 12.91 Mn |
| Sep 30, 2021 | 1.58 Mn |
| Jun 30, 2021 | 2.30 Mn |
| Mar 31, 2021 | 1.72 Mn |
API Access
10x Genomics 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=TXG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "TXG", "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=TXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();