Global-E Online (GLBE) EBITDA (2020 - 2026)
Global-E Online (GLBE) reported EBITDA of $51.27 million for Q2 2026, up 113.5% from $24.01 million a year earlier and up 29.6% from the prior quarter.
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Analysis
Global-E Online (GLBE) EBITDA (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Global-E Online's EBITDA came in at $188.43 million, up 83.9% year-over-year; for FY2025, it came in at $139.99 million, up 69.1% from FY2024.
- EBITDA has a five-year compound annual growth rate of 74.5% (FY2020 to FY2025).
- By year, EBITDA came in at $82.8 million in FY2024 (+445.4%), $15.18 million in FY2023, -$38.69 million in FY2022 and $18.97 million in FY2021 (+119.4%).
- Five-year quarterly EBITDA spans a low of -$15.38 million in Q3 2022 and a high of $71.9 million in Q4 2025.
- Year over year, EBITDA has now increased in each of the last nine quarters, with growth averaging 174.3% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q2 2024 (growth of 912.4%); the low point was Q4 2022 (a decline of 60.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $39.56 million (Q1 2026), $71.9 million (Q4 2025) and $25.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 47.87 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 25.13 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 8.60 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | - |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 495.00 Mn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 2.63 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 795.06 Mn |
| 10 | Global-E Online | 6.74 Bn | 5.50 Bn | 131.87 Mn | 51.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.27 Mn |
| Mar 31, 2026 | 39.56 Mn |
| Dec 31, 2025 | 71.90 Mn |
| Sep 30, 2025 | 25.71 Mn |
| Jun 30, 2025 | 24.01 Mn |
| Mar 31, 2025 | 18.37 Mn |
| Dec 31, 2024 | 43.16 Mn |
| Sep 30, 2024 | 16.94 Mn |
| Jun 30, 2024 | 15.15 Mn |
| Mar 31, 2024 | 7.55 Mn |
| Dec 31, 2023 | 14.87 Mn |
| Sep 30, 2023 | 2.24 Mn |
| Jun 30, 2023 | 1.50 Mn |
| Mar 31, 2023 | -3.43 Mn |
| Dec 31, 2022 | 2.90 Mn |
| Sep 30, 2022 | -15.38 Mn |
| Jun 30, 2022 | -11.54 Mn |
| Mar 31, 2022 | -14.67 Mn |
| Dec 31, 2021 | 7.34 Mn |
| Sep 30, 2021 | 1.40 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();