Xometry (XMTR) Change in Receivables (2020 - 2026)
Xometry (XMTR) recorded Change in Receivables of $10.65 million in Q2 2026, compared with $147,000 a year earlier and down 53.0% from the prior quarter.
Xometry (XMTR) Change in Receivables (2020 - 2026) Analysis & Trends
On a TTM basis, Xometry's Change in Receivables came in at $41.62 million as of Jun 30, 2026, up 131.7% year-over-year; for FY2025, it was $21.81 million, up 279.4% from FY2024.
- Annual Change in Receivables has a five-year compound annual growth rate of 59.2% (FY2020 to FY2025).
- Across earlier years, Change in Receivables came in at $5.75 million in FY2024 (-72.1%), $20.59 million in FY2023 (+21.1%), $17.01 million in FY2022 (+53.0%) and $11.12 million in FY2021 (+421.9%).
- Quarterly Change in Receivables has ranged from -$2.51 million in Q4 2024 to $22.66 million in Q1 2026 over the past five years.
- On a year-over-year basis, Change in Receivables rose in three of the last four quarters, with growth averaging 6.4%.
- Peak year-over-year performance for Change in Receivables in the last five years was growth of 321.6% in Q2 2022, against a decline of 91.9% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $22.66 million (Q1 2026), -$1.56 million (Q4 2025) and $9.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 6.54 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 4.40 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 | 425.00 Mn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 950.00 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 | -92.99 Mn |
| 10 | Xometry | 5.71 Bn | 4.53 Bn | 87.15 Mn | 10.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.65 Mn |
| Mar 31, 2026 | 22.66 Mn |
| Dec 31, 2025 | -1.56 Mn |
| Sep 30, 2025 | 9.87 Mn |
| Jun 30, 2025 | 147,000.00 |
| Mar 31, 2025 | 13.36 Mn |
| Dec 31, 2024 | -2.51 Mn |
| Sep 30, 2024 | 6.97 Mn |
| Jun 30, 2024 | 1.83 Mn |
| Mar 31, 2024 | -532,000.00 |
| Dec 31, 2023 | 5.72 Mn |
| Sep 30, 2023 | 6.57 Mn |
| Jun 30, 2023 | 5.50 Mn |
| Mar 31, 2023 | 2.80 Mn |
| Dec 31, 2022 | -2.02 Mn |
| Sep 30, 2022 | 7.20 Mn |
| Jun 30, 2022 | 5.69 Mn |
| Mar 31, 2022 | 6.15 Mn |
| Dec 31, 2021 | 472,000.00 |
| Sep 30, 2021 | 3.77 Mn |
Xometry Change in Receivables 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=change-in-receivables&ticker=XMTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=XMTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();