Xometry (XMTR) Operating Margin (2020 - 2026)
Xometry (XMTR) reported Operating Margin of -2.42% for Q2 2026, up 3.91 percentage points from -6.33% a year earlier and up 0.13 percentage points from the prior quarter.
Xometry (XMTR) Operating Margin (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Xometry's Operating Margin came in at -3.79%, up 4.27 percentage points year-over-year; for FY2025, it was -6.63%, up 3.66 percentage points from FY2024.
- Operating Margin has increased for four consecutive years, with a five-year change of +14.03 percentage points (FY2020 to FY2025).
- By year, Operating Margin came in at -10.29% in FY2024 (+5.58 pp), -15.88% in FY2023 (+4.36 pp), -20.24% in FY2022 (+6.64 pp) and -26.88% in FY2021 (-6.22 pp).
- The Q2 2026 figure ranks as the highest quarterly Operating Margin in data going back to Q2 2020.
- Year over year, Operating Margin has now increased in each of the last 12 quarters, with an average year-over-year change of +3.92 percentage points over the last eight quarters.
- The high point for year-over-year Operating Margin in five years was Q4 2023 (a gain of 18.09 percentage points); the low point was Q3 2021 (a drop of 11.40 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -2.54% (Q1 2026), -4.56% (Q4 2025) and -6.12% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 34.03% |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 30.88% |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 33.38% |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 5.64% |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 13.62% |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 13.32% |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 34.00% |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 24.71% |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 77.68% |
| 10 | Xometry | 5.73 Bn | 4.55 Bn | 87.15 Mn | -2.42% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.42% |
| Mar 31, 2026 | -2.54% |
| Dec 31, 2025 | -4.56% |
| Sep 30, 2025 | -6.12% |
| Jun 30, 2025 | -6.33% |
| Mar 31, 2025 | -10.19% |
| Dec 31, 2024 | -7.76% |
| Sep 30, 2024 | -8.10% |
| Jun 30, 2024 | -11.53% |
| Mar 31, 2024 | -14.55% |
| Dec 31, 2023 | -9.79% |
| Sep 30, 2023 | -11.10% |
| Jun 30, 2023 | -25.27% |
| Mar 31, 2023 | -18.79% |
| Dec 31, 2022 | -27.88% |
| Sep 30, 2022 | -14.67% |
| Jun 30, 2022 | -16.32% |
| Mar 31, 2022 | -22.65% |
| Dec 31, 2021 | -33.64% |
| Sep 30, 2021 | -25.14% |
Xometry Operating Margin 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=operating-margin&ticker=XMTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=XMTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();