Xometry (XMTR) Total Non-Current Liabilities (2021 - 2026)
Xometry's Total Non-Current Liabilities was $461.14 million in Q2 2026, up 11.1% from $414.97 million a year earlier and up 1.0% from the prior quarter.
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Analysis
Xometry (XMTR) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Xometry came in at $426.44 million, up 17.2% from FY2024.
- Total Non-Current Liabilities shows a four-year compound annual growth rate of 54.2% (FY2021 to FY2025).
- In earlier years, Total Non-Current Liabilities was $363.72 million in FY2024 (-3.3%), $376.19 million in FY2023 (+4.1%), $361.3 million in FY2022 (+379.0%) and $75.43 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2021.
- Compared with a year earlier, Total Non-Current Liabilities has increased for six straight quarters, with growth averaging 10.0% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2022 (growth of 379.0%); the worst was Q4 2024 (a decline of 3.3%).
- Per Business Quant data, XMTR's Total Non-Current Liabilities in the three quarters before Q2 2026 was $456.6 million (Q1 2026), $426.44 million (Q4 2025) and $425.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,064.40 Bn | 3,821.93 Bn | 73.85 Bn | 261.69 Bn |
| 2 | Meta Platforms | 1,800.83 Bn | 1,503.35 Bn | 49.47 Bn | 166.27 Bn |
| 3 | Netflix | 274.98 Bn | 235.18 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 242.63 Bn | 56.40 Bn | 15.11 Bn | 122.05 Bn |
| 5 | Shopify | 229.16 Bn | 206.35 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 138.78 Bn | 110.58 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 121.24 Bn | 54.29 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 110.13 Bn | -133.64 Bn | 9.45 Bn | 428.00 Mn |
| 9 | Spotify Technology | 107.31 Bn | 64.81 Bn | 1.86 Bn | 6.10 Bn |
| 10 | Xometry | 5.01 Bn | 3.83 Bn | 87.15 Mn | 461.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 461.14 Mn |
| Mar 31, 2026 | 456.60 Mn |
| Dec 31, 2025 | 426.44 Mn |
| Sep 30, 2025 | 425.24 Mn |
| Jun 30, 2025 | 414.97 Mn |
| Mar 31, 2025 | 378.27 Mn |
| Dec 31, 2024 | 363.72 Mn |
| Sep 30, 2024 | 361.03 Mn |
| Jun 30, 2024 | 361.36 Mn |
| Mar 31, 2024 | 370.59 Mn |
| Dec 31, 2023 | 376.19 Mn |
| Sep 30, 2023 | 362.13 Mn |
| Jun 30, 2023 | 364.62 Mn |
| Mar 31, 2023 | 361.07 Mn |
| Dec 31, 2022 | 361.30 Mn |
| Sep 30, 2022 | 358.00 Mn |
| Jun 30, 2022 | 352.81 Mn |
| Mar 31, 2022 | 347.82 Mn |
| Dec 31, 2021 | 73.98 Mn |
API Access
Xometry Total Non-Current 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-non-current-liabilities&ticker=XMTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=XMTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();