Xometry (XMTR) Cash & Equivalents (2020 - 2026)
Xometry's Cash & Equivalents came in at $21.75 million for Q2 2026, up 29.9% from $16.75 million a year earlier and up 3.4% from the prior quarter.
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Analysis
Xometry (XMTR) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Xometry's Cash & Equivalents was $15 million, down 32.5% from FY2024.
- Cash & Equivalents has declined in each of the last four years, with a five-year compound annual growth rate of -24.2% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $22.23 million in FY2024 (-58.4%), $53.42 million in FY2023 (-18.6%), $65.66 million in FY2022 (-23.9%) and $86.26 million in FY2021 (+44.1%).
- The Q2 2026 figure represents the highest quarterly Cash & Equivalents since Q4 2024.
- Year-over-year, Cash & Equivalents increased in three of the last eight quarters, with an average decline of 19.6%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2023 (growth of 45.5%), and the weakest in Q1 2025 (a decline of 66.1%).
- Business Quant data shows XMTR's Cash & Equivalents at $21.05 million (Q1 2026), $15 million (Q4 2025) and $20.85 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 9.10 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 17.21 Bn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 19.00 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 6.90 Bn |
| 10 | Xometry | 5.70 Bn | 4.51 Bn | 87.15 Mn | 21.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.75 Mn |
| Mar 31, 2026 | 21.05 Mn |
| Dec 31, 2025 | 15.00 Mn |
| Sep 30, 2025 | 20.85 Mn |
| Jun 30, 2025 | 16.75 Mn |
| Mar 31, 2025 | 15.51 Mn |
| Dec 31, 2024 | 22.23 Mn |
| Sep 30, 2024 | 17.43 Mn |
| Jun 30, 2024 | 22.07 Mn |
| Mar 31, 2024 | 45.70 Mn |
| Dec 31, 2023 | 53.42 Mn |
| Sep 30, 2023 | 44.37 Mn |
| Jun 30, 2023 | 56.74 Mn |
| Mar 31, 2023 | 39.71 Mn |
| Dec 31, 2022 | 65.66 Mn |
| Sep 30, 2022 | 30.50 Mn |
| Jun 30, 2022 | 46.83 Mn |
| Mar 31, 2022 | 58.97 Mn |
| Dec 31, 2021 | 86.26 Mn |
| Sep 30, 2021 | 57.78 Mn |
API Access
Xometry Cash & Equivalents 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=cash-and-equivalents&ticker=XMTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=XMTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();