Xometry (XMTR) Depreciation and Depletion (2020 - 2026)
Xometry (XMTR) reported Depreciation and Depletion of $5.03 million for Q2 2026, up 39.6% from $3.61 million a year earlier and up 21.9% from the prior quarter.
Xometry (XMTR) Depreciation and Depletion (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Xometry's Depreciation and Depletion came in at $17.38 million, up 47.9% year-over-year; for FY2025, it was $15.18 million, up 61.6% from FY2024.
- Depreciation and Depletion has increased for six consecutive years, with a five-year compound annual growth rate of 46.0% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $9.39 million in FY2024 (+33.6%), $7.03 million in FY2023 (+75.9%), $4 million in FY2022 (+27.6%) and $3.13 million in FY2021 (+36.9%).
- The Q2 2026 figure ranks as the highest quarterly Depreciation and Depletion in data going back to Q2 2020.
- Year over year, Depreciation and Depletion has now increased in each of the last 21 quarters, with growth averaging 48.7% over the last eight quarters.
- The year-over-year growth in Depreciation and Depletion has ranged between 11.3% (Q3 2021) and 107.9% (Q2 2023) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.13 million (Q1 2026), $4.12 million (Q4 2025) and $4.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 7.10 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 6.00 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | - |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | - |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | - |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | -418.45 Mn |
| 10 | Xometry | 5.70 Bn | 4.51 Bn | 87.15 Mn | 5.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.03 Mn |
| Mar 31, 2026 | 4.13 Mn |
| Dec 31, 2025 | 4.12 Mn |
| Sep 30, 2025 | 4.11 Mn |
| Jun 30, 2025 | 3.61 Mn |
| Mar 31, 2025 | 3.35 Mn |
| Dec 31, 2024 | 2.49 Mn |
| Sep 30, 2024 | 2.31 Mn |
| Jun 30, 2024 | 2.35 Mn |
| Mar 31, 2024 | 2.25 Mn |
| Dec 31, 2023 | 1.86 Mn |
| Sep 30, 2023 | 1.57 Mn |
| Jun 30, 2023 | 1.96 Mn |
| Mar 31, 2023 | 1.64 Mn |
| Dec 31, 2022 | 1.16 Mn |
| Sep 30, 2022 | 956,000.00 |
| Jun 30, 2022 | 944,000.00 |
| Mar 31, 2022 | 934,000.00 |
| Dec 31, 2021 | 1.03 Mn |
| Sep 30, 2021 | 748,000.00 |
Xometry 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=XMTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "XMTR", "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=XMTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();