Xometry (XMTR) Non-Current Assets (2020 - 2026)
Xometry (XMTR) reported Non-Current Assets of $385.36 million for Q2 2026, up 7.5% from $358.53 million a year earlier and up 2.4% from the prior quarter.
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Analysis
Xometry (XMTR) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Xometry posted Non-Current Assets of $369.08 million, up 4.7% from FY2024.
- Non-Current Assets has increased for four consecutive years, with a five-year compound annual growth rate of 100.8% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $352.59 million in FY2024 (+0.4%), $351.16 million in FY2023 (+1.2%), $346.87 million in FY2022 (+2.3%) and $339.16 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Non-Current Assets in data going back to Q4 2020.
- Year over year, Non-Current Assets has now increased in each of the last nine quarters, with growth averaging 3.2% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q2 2026 (growth of 7.5%); the low point was Q3 2023 (a decline of 0.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $376.21 million (Q1 2026), $369.08 million (Q4 2025) and $357.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 578.46 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 324.48 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 44.60 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 181.70 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 6.65 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 53.27 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 6.63 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 15.71 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 2.88 Bn |
| 10 | Xometry | 5.73 Bn | 4.55 Bn | 87.15 Mn | 385.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 385.36 Mn |
| Mar 31, 2026 | 376.21 Mn |
| Dec 31, 2025 | 369.08 Mn |
| Sep 30, 2025 | 357.77 Mn |
| Jun 30, 2025 | 358.53 Mn |
| Mar 31, 2025 | 355.49 Mn |
| Dec 31, 2024 | 352.59 Mn |
| Sep 30, 2024 | 352.50 Mn |
| Jun 30, 2024 | 351.22 Mn |
| Mar 31, 2024 | 351.11 Mn |
| Dec 31, 2023 | 351.16 Mn |
| Sep 30, 2023 | 343.27 Mn |
| Jun 30, 2023 | 343.68 Mn |
| Mar 31, 2023 | 351.90 Mn |
| Dec 31, 2022 | 346.87 Mn |
| Sep 30, 2022 | 344.54 Mn |
| Jun 30, 2022 | 343.52 Mn |
| Mar 31, 2022 | 338.28 Mn |
| Dec 31, 2021 | 339.16 Mn |
| Sep 30, 2021 | 14.21 Mn |
API Access
Xometry Non-Current Assets 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=non-current-assets&ticker=XMTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=XMTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();