Global-E Online (GLBE) Receivables - Net (2020 - 2026)
Global-E Online's (GLBE) quarterly Receivables - Net came in at $78.6 million in Q2 2026, up 160.57% year-over-year from $30.2 million in Q2 2025, and up 78.11% quarter-over-quarter from $44.1 million in Q1 2026.
Global-E Online (GLBE) Receivables - Net (2020 - 2026) Analysis & Trends
Global-E Online has disclosed Receivables - Net across 7 years of filings, most recently posting $78.6 million for Q2 2026.
- In Q2 2026, Receivables - Net rose 160.57% year-over-year to $78.6 million; the TTM figure through Jun 2026 stood at $78.6 million (up 160.57% YoY), while the FY2025 annual figure was $55.7 million, down 54.7% from the prior year.
- Receivables - Net came in at $78.6 million for Q2 2026 at Global-E Online, up from $44.1 million in the prior quarter.
- In the past five years, Receivables - Net ranged from a high of $123.0 million in Q4 2024 to a low of $9.3 million in Q2 2022.
- Average Receivables - Net over 5 years is $42.6 million, with a median of $32.0 million recorded in 2024.
- Year-over-year, Receivables - Net surged 324.47% in 2024 and tumbled 54.7% in 2025.
- Over 5 years, Receivables - Net stood at $78.1 million in 2022, then soared by 42.38% to $111.2 million in 2023, then climbed by 10.57% to $123.0 million in 2024, then sank by 54.7% to $55.7 million in 2025, then surged by 41.16% to $78.6 million in 2026.
- Per Business Quant data, the three most recent Receivables - Net figures were $78.6 million in Q2 2026, $44.1 million in Q1 2026, and $55.7 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Shopify | 166.44 Bn | 161.49 Bn | 1.71 Bn |
| 2 | Global-E Online | 6.43 Bn | 6.07 Bn | 131.87 Mn |
| 3 | Vtex | 629.70 Mn | 443.81 Mn | 51.71 Mn |
| 4 | Rezolve Ai | 369.68 Mn | 258.57 Mn | - |
| 5 | Commerce.com | 275.92 Mn | 119.60 Mn | 63.53 Mn |
| 6 | Baozun | 152.97 Mn | -66.33 Mn | 302.56 Mn |
| 7 | BeLive Holdings | 24.01 Mn | 17.39 Mn | - |
| 8 | Paid | 18.65 Mn | 17.57 Mn | 1.22 Mn |
| 9 | Caro Holdings | 11.71 Mn | 11.71 Mn | - |
| 10 | Amaze Holdings | 1.11 Mn | 1.11 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.63 Mn |
| Mar 31, 2026 | 44.15 Mn |
| Dec 31, 2025 | 55.71 Mn |
| Sep 30, 2025 | 33.62 Mn |
| Jun 30, 2025 | 30.18 Mn |
| Mar 31, 2025 | 34.70 Mn |
| Dec 31, 2024 | 122.98 Mn |
| Sep 30, 2024 | 57.10 Mn |
| Jun 30, 2024 | 30.34 Mn |
| Mar 31, 2024 | 19.42 Mn |
| Dec 31, 2023 | 111.23 Mn |
| Sep 30, 2023 | 13.45 Mn |
| Jun 30, 2023 | 14.10 Mn |
| Mar 31, 2023 | 12.34 Mn |
| Dec 31, 2022 | 78.13 Mn |
| Sep 30, 2022 | 11.69 Mn |
| Jun 30, 2022 | 9.34 Mn |
| Mar 31, 2022 | 10.07 Mn |
| Dec 31, 2021 | 57.64 Mn |
| Sep 30, 2021 | 3.88 Mn |
Global-E Online Receivables - Net 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=receivables-net&ticker=GLBE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "GLBE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=receivables-net&ticker=GLBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();