Global-E Online (GLBE) EBITDA (2020 - 2026)
Global-E Online's (GLBE) quarterly EBITDA came in at $62.4 million in Q2 2026, up 62.26% year-over-year from $38.5 million in Q2 2025, and up 24.45% quarter-over-quarter from $50.2 million in Q1 2026.
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Analysis
Global-E Online (GLBE) EBITDA (2020 - 2026) Analysis & Trends
Global-E Online has disclosed EBITDA across 7 years of filings, most recently posting $62.4 million for Q2 2026.
- In Q2 2026, EBITDA rose 62.26% year-over-year to $62.4 million; the TTM figure through Jun 2026 stood at $241.1 million (up 52.39% YoY), while the FY2025 annual figure was $198.5 million, up 41.03% from the prior year.
- EBITDA came in at $62.4 million for Q2 2026 at Global-E Online, up from $50.2 million in the prior quarter.
- In the past five years, EBITDA ranged from a high of $87.2 million in Q4 2025 to a low of $3.3 million in Q1 2022.
- Average EBITDA over 5 years is $33.0 million, with a median of $31.2 million recorded in 2024.
- Year-over-year, EBITDA plunged 37.35% in 2022 and surged 341.35% in 2023.
- Over 5 years, EBITDA stood at $21.8 million in 2022, then surged by 61.7% to $35.2 million in 2023, then surged by 62.32% to $57.1 million in 2024, then jumped by 52.77% to $87.2 million in 2025, then fell by 28.44% to $62.4 million in 2026.
- Per Business Quant data, the three most recent EBITDA figures were $62.4 million in Q2 2026, $50.2 million in Q1 2026, and $87.2 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Shopify | 166.44 Bn | 161.49 Bn | 1.71 Bn | 488.00 Mn |
| 2 | Global-E Online | 6.43 Bn | 6.07 Bn | 131.87 Mn | 62.42 Mn |
| 3 | Vtex | 629.70 Mn | 443.81 Mn | 51.71 Mn | 9.66 Mn |
| 4 | Rezolve Ai | 369.68 Mn | 258.57 Mn | - | - |
| 5 | Commerce.com | 275.92 Mn | 119.60 Mn | 63.53 Mn | 2.70 Mn |
| 6 | Baozun | 152.97 Mn | -66.33 Mn | 302.56 Mn | 9.31 Mn |
| 7 | BeLive Holdings | 24.01 Mn | 17.39 Mn | - | - |
| 8 | Paid | 18.65 Mn | 17.57 Mn | 1.22 Mn | -23,173.00 |
| 9 | Caro Holdings | 11.71 Mn | 11.71 Mn | - | -161,747.00 |
| 10 | Amaze Holdings | 1.11 Mn | 1.11 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.42 Mn |
| Mar 31, 2026 | 50.16 Mn |
| Dec 31, 2025 | 87.23 Mn |
| Sep 30, 2025 | 41.26 Mn |
| Jun 30, 2025 | 38.47 Mn |
| Mar 31, 2025 | 31.56 Mn |
| Dec 31, 2024 | 57.10 Mn |
| Sep 30, 2024 | 31.06 Mn |
| Jun 30, 2024 | 31.35 Mn |
| Mar 31, 2024 | 21.26 Mn |
| Dec 31, 2023 | 35.18 Mn |
| Sep 30, 2023 | 22.09 Mn |
| Jun 30, 2023 | 20.98 Mn |
| Mar 31, 2023 | 14.49 Mn |
| Dec 31, 2022 | 21.76 Mn |
| Sep 30, 2022 | 12.54 Mn |
| Jun 30, 2022 | 11.13 Mn |
| Mar 31, 2022 | 3.28 Mn |
| Dec 31, 2021 | 11.83 Mn |
| Sep 30, 2021 | 7.74 Mn |
API Access
Global-E Online EBITDA 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=ebitda&ticker=GLBE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GLBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();