Global-E Online (GLBE) Revenue (2020 - 2026)
Global-E Online (GLBE) reported Revenue of $299 million for Q2 2026, up 39.1% from $214.88 million a year earlier and up 18.6% from the prior quarter.
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Analysis
Global-E Online (GLBE) Revenue (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Global-E Online's Revenue came in at $1.11 billion, up 31.4% year-over-year; for FY2025, it came in at $962.2 million, up 27.8% from FY2024.
- Revenue has increased for six consecutive years, with a five-year compound annual growth rate of 47.8% (FY2020 to FY2025).
- By year, Revenue came in at $752.76 million in FY2024 (+32.1%), $569.95 million in FY2023 (+39.3%), $409.05 million in FY2022 (+66.8%) and $245.27 million in FY2021 (+79.9%).
- Five-year quarterly Revenue spans a low of $59.12 million in Q3 2021 and a high of $336.66 million in Q4 2025.
- Year over year, Revenue has now increased in each of the last 22 quarters, with growth averaging 32.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 24.0% (Q1 2024) to 78.5% (Q3 2022).
- Per Business Quant data, the three quarters before Q2 2026 came in at $252.09 million (Q1 2026), $336.66 million (Q4 2025) and $220.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 119.80 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 60.80 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 12.56 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 39.64 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 3.58 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 14.19 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 7.35 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 16.56 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 5.55 Bn |
| 10 | Global-E Online | 6.74 Bn | 5.50 Bn | 131.87 Mn | 299.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 299.00 Mn |
| Mar 31, 2026 | 252.09 Mn |
| Dec 31, 2025 | 336.66 Mn |
| Sep 30, 2025 | 220.78 Mn |
| Jun 30, 2025 | 214.88 Mn |
| Mar 31, 2025 | 189.88 Mn |
| Dec 31, 2024 | 262.91 Mn |
| Sep 30, 2024 | 175.97 Mn |
| Jun 30, 2024 | 168.01 Mn |
| Mar 31, 2024 | 145.87 Mn |
| Dec 31, 2023 | 185.40 Mn |
| Sep 30, 2023 | 133.61 Mn |
| Jun 30, 2023 | 133.31 Mn |
| Mar 31, 2023 | 117.63 Mn |
| Dec 31, 2022 | 139.87 Mn |
| Sep 30, 2022 | 105.56 Mn |
| Jun 30, 2022 | 87.31 Mn |
| Mar 31, 2022 | 76.32 Mn |
| Dec 31, 2021 | 82.72 Mn |
| Sep 30, 2021 | 59.12 Mn |
API Access
Global-E Online Revenue 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=revenue&ticker=GLBE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=GLBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();