Global-E Online (GLBE) Assets (2020 - 2026)
Global-E Online's (GLBE) quarterly Assets came in at $1.4 billion in Q2 2026, up 11.47% year-over-year from $1.2 billion in Q2 2025, and up 4.14% quarter-over-quarter from $1.3 billion in Q1 2026.
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Analysis
Global-E Online (GLBE) Assets (2020 - 2026) Analysis & Trends
Global-E Online has disclosed Assets across 7 years of filings, most recently posting $1.4 billion for Q2 2026.
- In Q2 2026, Assets rose 11.47% year-over-year to $1.4 billion; the TTM figure through Jun 2026 stood at $1.4 billion (up 11.47% YoY), while the FY2025 annual figure was $1.5 billion, up 15.77% from the prior year.
- Assets came in at $1.4 billion for Q2 2026 at Global-E Online, up from $1.3 billion in the prior quarter.
- In the past five years, Assets ranged from a high of $1.5 billion in Q4 2025 to a low of $1.1 billion in Q1 2022.
- Average Assets over 5 years is $1.2 billion, with a median of $1.2 billion recorded in 2022.
- Year-over-year, Assets jumped 670.64% in 2022 and retreated 0.84% in 2024.
- Over 5 years, Assets stood at $1.2 billion in 2022, then advanced by 3.42% to $1.2 billion in 2023, then grew by 5.08% to $1.3 billion in 2024, then increased by 15.77% to $1.5 billion in 2025, then declined by 7.35% to $1.4 billion in 2026.
- Per Business Quant data, the three most recent Assets figures were $1.4 billion in Q2 2026, $1.3 billion in Q1 2026, and $1.5 billion in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Shopify | 166.44 Bn | 161.49 Bn | 1.71 Bn | 14.47 Bn |
| 2 | Global-E Online | 6.43 Bn | 6.07 Bn | 131.87 Mn | 1.36 Bn |
| 3 | Vtex | 629.70 Mn | 443.81 Mn | 51.71 Mn | 340.46 Mn |
| 4 | Rezolve Ai | 369.68 Mn | 258.57 Mn | - | 611.73 Mn |
| 5 | Commerce.com | 275.92 Mn | 119.60 Mn | 63.53 Mn | 324.83 Mn |
| 6 | Baozun | 152.97 Mn | -66.33 Mn | 302.56 Mn | 1.41 Bn |
| 7 | BeLive Holdings | 24.01 Mn | 17.39 Mn | - | 7.18 Mn |
| 8 | Paid | 18.65 Mn | 17.57 Mn | 1.22 Mn | 8.44 Mn |
| 9 | Caro Holdings | 11.71 Mn | 11.71 Mn | - | 8.23 Mn |
| 10 | Amaze Holdings | 1.11 Mn | 1.11 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.36 Bn |
| Mar 31, 2026 | 1.30 Bn |
| Dec 31, 2025 | 1.46 Bn |
| Sep 30, 2025 | 1.28 Bn |
| Jun 30, 2025 | 1.22 Bn |
| Mar 31, 2025 | 1.18 Bn |
| Dec 31, 2024 | 1.26 Bn |
| Sep 30, 2024 | 1.17 Bn |
| Jun 30, 2024 | 1.13 Bn |
| Mar 31, 2024 | 1.11 Bn |
| Dec 31, 2023 | 1.20 Bn |
| Sep 30, 2023 | 1.12 Bn |
| Jun 30, 2023 | 1.12 Bn |
| Mar 31, 2023 | 1.12 Bn |
| Dec 31, 2022 | 1.16 Bn |
| Sep 30, 2022 | 1.10 Bn |
| Jun 30, 2022 | 1.09 Bn |
| Mar 31, 2022 | 1.08 Bn |
| Dec 31, 2021 | 846.13 Mn |
| Sep 30, 2021 | 766.76 Mn |
API Access
Global-E Online Assets 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=assets&ticker=GLBE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=GLBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();