Xometry (XMTR) Interest Expenses (2020 - 2026)
Xometry's Interest Expenses was $1.26 million in Q2 2026, up 6.4% from $1.18 million a year earlier and unchanged from the prior quarter.
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Analysis
Xometry (XMTR) Interest Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Xometry's Interest Expenses was $5.05 million through Jun 30, 2026, up 6.5% year-over-year; for FY2025, it came in at $4.91 million, up 3.3% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 35.1% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $4.75 million in FY2024 (-0.7%), $4.78 million in FY2023 (+8.3%), $4.42 million in FY2022 (+418.5%) and $852,000 in FY2021 (-21.8%).
- Quarterly Interest Expenses has moved between $53,000 (Q4 2021) and $1.28 million (Q3 2025) over five years.
- Compared with a year earlier, Interest Expenses has increased for four straight quarters, with growth averaging 3.0% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was Q2 2022 (growth of 245.4%); the worst was Q3 2021 (a decline of 74.4%).
- Per Business Quant data, XMTR's Interest Expenses in the three quarters before Q2 2026 was $1.26 million (Q1 2026), $1.26 million (Q4 2025) and $1.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | - |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | - |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 175.69 Mn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -345.42 Mn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 127.00 Mn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 300.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | -24.41 Mn |
| 10 | Xometry | 5.71 Bn | 4.53 Bn | 87.15 Mn | 1.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.26 Mn |
| Mar 31, 2026 | 1.26 Mn |
| Dec 31, 2025 | 1.26 Mn |
| Sep 30, 2025 | 1.28 Mn |
| Jun 30, 2025 | 1.18 Mn |
| Mar 31, 2025 | 1.19 Mn |
| Dec 31, 2024 | 1.19 Mn |
| Sep 30, 2024 | 1.19 Mn |
| Jun 30, 2024 | 1.19 Mn |
| Mar 31, 2024 | 1.19 Mn |
| Dec 31, 2023 | 1.19 Mn |
| Sep 30, 2023 | 1.21 Mn |
| Jun 30, 2023 | 1.19 Mn |
| Mar 31, 2023 | 1.20 Mn |
| Dec 31, 2022 | 1.25 Mn |
| Sep 30, 2022 | 1.19 Mn |
| Jun 30, 2022 | 1.21 Mn |
| Mar 31, 2022 | 769,000.00 |
| Dec 31, 2021 | 53,000.00 |
| Sep 30, 2021 | 79,000.00 |
API Access
Xometry Interest Expenses 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=interest-expenses&ticker=XMTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=XMTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();