Xometry (XMTR) Other Operating Expenses (2020 - 2026)
Xometry (XMTR) reported Other Operating Expenses of $55.04 million for Q2 2026, up 16.1% from $47.42 million a year earlier and up 6.6% from the prior quarter.
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Analysis
Xometry (XMTR) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Xometry's Other Operating Expenses came in at $211.12 million, up 21.3% year-over-year; for FY2025, it came in at $193.95 million, up 15.8% from FY2024.
- Other Operating Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 38.3% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $167.49 million in FY2024 (+14.9%), $145.72 million in FY2023 (+10.2%), $132.27 million in FY2022 (+109.6%) and $63.11 million in FY2021 (+64.9%).
- The Q2 2026 figure ranks as the highest quarterly Other Operating Expenses in data going back to Q2 2020.
- Year over year, Other Operating Expenses has now increased in each of the last ten quarters, with growth averaging 16.2% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q1 2022 (growth of 166.1%); the low point was Q4 2023 (a decline of 0.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $51.61 million (Q1 2026), $53.28 million (Q4 2025) and $51.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Xometry | 5.71 Bn | 4.53 Bn | 87.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.04 Mn |
| Mar 31, 2026 | 51.61 Mn |
| Dec 31, 2025 | 53.28 Mn |
| Sep 30, 2025 | 51.19 Mn |
| Jun 30, 2025 | 47.42 Mn |
| Mar 31, 2025 | 42.06 Mn |
| Dec 31, 2024 | 42.69 Mn |
| Sep 30, 2024 | 41.90 Mn |
| Jun 30, 2024 | 41.66 Mn |
| Mar 31, 2024 | 41.25 Mn |
| Dec 31, 2023 | 38.30 Mn |
| Sep 30, 2023 | 35.98 Mn |
| Jun 30, 2023 | 37.11 Mn |
| Mar 31, 2023 | 35.07 Mn |
| Dec 31, 2022 | 38.38 Mn |
| Sep 30, 2022 | 33.36 Mn |
| Jun 30, 2022 | 30.44 Mn |
| Mar 31, 2022 | 31.64 Mn |
| Dec 31, 2021 | 21.26 Mn |
| Sep 30, 2021 | 15.60 Mn |
API Access
Xometry Other Operating 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=other-operating-expenses&ticker=XMTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=XMTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();