Xometry (XMTR) Total Liabilities (2020 - 2026)
Xometry (XMTR) recorded Total Liabilities of $461.63 million in Q2 2026, up 11.1% from $415.52 million a year earlier and up 1.0% from the prior quarter.
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Analysis
Xometry (XMTR) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Xometry reported Total Liabilities of $426.98 million, up 17.1% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 16.4% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $364.53 million in FY2024 (-3.3%), $376.97 million in FY2023 (+4.0%), $362.32 million in FY2022 (+369.9%) and $77.1 million in FY2021 (-61.5%).
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Liabilities has increased for six consecutive quarters, with growth averaging 10.0% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 369.9% in Q4 2022, against a decline of 61.5% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $457.09 million (Q1 2026), $426.98 million (Q4 2025) and $425.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.68 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.67 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 5.11 Bn |
| 10 | Xometry | 5.73 Bn | 4.55 Bn | 87.15 Mn | 461.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 461.63 Mn |
| Mar 31, 2026 | 457.09 Mn |
| Dec 31, 2025 | 426.98 Mn |
| Sep 30, 2025 | 425.79 Mn |
| Jun 30, 2025 | 415.52 Mn |
| Mar 31, 2025 | 379.08 Mn |
| Dec 31, 2024 | 364.53 Mn |
| Sep 30, 2024 | 361.85 Mn |
| Jun 30, 2024 | 361.64 Mn |
| Mar 31, 2024 | 370.88 Mn |
| Dec 31, 2023 | 376.97 Mn |
| Sep 30, 2023 | 363.63 Mn |
| Jun 30, 2023 | 366.01 Mn |
| Mar 31, 2023 | 362.33 Mn |
| Dec 31, 2022 | 362.32 Mn |
| Sep 30, 2022 | 361.32 Mn |
| Jun 30, 2022 | 356.13 Mn |
| Mar 31, 2022 | 351.15 Mn |
| Dec 31, 2021 | 77.10 Mn |
| Sep 30, 2021 | 29.37 Mn |
API Access
Xometry Total Liabilities 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=total-liabilities&ticker=XMTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=XMTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();