Global-E Online (GLBE) Receivables (2020 - 2026)
Global-E Online's (GLBE) quarterly Receivables came in at $64.9 million in Q2 2026, up 279.44% year-over-year from $17.1 million in Q2 2025, and up 33.8% quarter-over-quarter from $48.5 million in Q1 2026.
Global-E Online (GLBE) Receivables (2020 - 2026) Analysis & Trends
Global-E Online has disclosed Receivables across 7 years of filings, most recently posting $64.9 million for Q2 2026.
- In Q2 2026, Receivables rose 279.44% year-over-year to $64.9 million; the TTM figure through Jun 2026 stood at $64.9 million (up 279.44% YoY), while the FY2025 annual figure was $49.0 million, down 62.8% from the prior year.
- Receivables came in at $64.9 million for Q2 2026 at Global-E Online, up from $48.5 million in the prior quarter.
- In the past five years, Receivables ranged from a high of $131.7 million in Q4 2024 to a low of -$209000.0 in Q3 2022.
- Average Receivables over 5 years is $41.9 million, with a median of $29.4 million recorded in 2022.
- Year-over-year, Receivables surged 5020.32% in 2022 and plunged 62.8% in 2025.
- Over 5 years, Receivables stood at $95.2 million in 2022, then climbed by 5.18% to $100.2 million in 2023, then jumped by 31.5% to $131.7 million in 2024, then slumped by 62.8% to $49.0 million in 2025, then soared by 32.52% to $64.9 million in 2026.
- Per Business Quant data, the three most recent Receivables figures were $64.9 million in Q2 2026, $48.5 million in Q1 2026, and $49.0 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Shopify | 166.44 Bn | 161.49 Bn | 1.71 Bn | 466.00 Mn |
| 2 | Global-E Online | 6.43 Bn | 6.07 Bn | 131.87 Mn | 64.93 Mn |
| 3 | Vtex | 629.70 Mn | 443.81 Mn | 51.71 Mn | 58.31 Mn |
| 4 | Rezolve Ai | 369.68 Mn | 258.57 Mn | - | 44.19 Mn |
| 5 | Commerce.com | 275.92 Mn | 119.60 Mn | 63.53 Mn | 66.61 Mn |
| 6 | Baozun | 152.97 Mn | -66.33 Mn | 302.56 Mn | 319.62 Mn |
| 7 | BeLive Holdings | 24.01 Mn | 17.39 Mn | - | 206,683.95 |
| 8 | Paid | 18.65 Mn | 17.57 Mn | 1.22 Mn | 469,348.00 |
| 9 | Caro Holdings | 11.71 Mn | 11.71 Mn | - | 30,304.00 |
| 10 | Amaze Holdings | 1.11 Mn | 1.11 Mn | - | 1.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.93 Mn |
| Mar 31, 2026 | 48.52 Mn |
| Dec 31, 2025 | 48.99 Mn |
| Sep 30, 2025 | 40.55 Mn |
| Jun 30, 2025 | 17.11 Mn |
| Mar 31, 2025 | 25.52 Mn |
| Dec 31, 2024 | 131.71 Mn |
| Sep 30, 2024 | 45.16 Mn |
| Jun 30, 2024 | 24.04 Mn |
| Mar 31, 2024 | 11.74 Mn |
| Dec 31, 2023 | 100.16 Mn |
| Sep 30, 2023 | 8.86 Mn |
| Jun 30, 2023 | 16.65 Mn |
| Mar 31, 2023 | 16.09 Mn |
| Dec 31, 2022 | 95.22 Mn |
| Sep 30, 2022 | -209,000.00 |
| Jun 30, 2022 | 29.47 Mn |
| Mar 31, 2022 | 29.24 Mn |
| Dec 31, 2021 | 28.36 Mn |
| Sep 30, 2021 | -9.73 Mn |
Global-E Online 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=receivables&ticker=GLBE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=GLBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();