Global-E Online (GLBE) Cost of Revenue (2020 - 2026)
Global-E Online's (GLBE) quarterly Cost of Revenue came in at $167.1 million in Q2 2026, up 42.59% year-over-year from $117.2 million in Q2 2025, and up 21.81% quarter-over-quarter from $137.2 million in Q1 2026.
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Analysis
Global-E Online (GLBE) Cost of Revenue (2020 - 2026) Analysis & Trends
Global-E Online has disclosed Cost of Revenue across 7 years of filings, most recently posting $167.1 million for Q2 2026.
- In Q2 2026, Cost of Revenue rose 42.59% year-over-year to $167.1 million; the TTM figure through Jun 2026 stood at $607.3 million (up 31.11% YoY), while the FY2025 annual figure was $525.9 million, up 27.25% from the prior year.
- Cost of Revenue came in at $167.1 million for Q2 2026 at Global-E Online, up from $137.2 million in the prior quarter.
- In the past five years, Cost of Revenue ranged from a high of $181.8 million in Q4 2025 to a low of $49.1 million in Q1 2022.
- Average Cost of Revenue over 5 years is $101.7 million, with a median of $93.2 million recorded in 2024.
- Year-over-year, Cost of Revenue jumped 78.35% in 2022 and increased 15.1% in 2024.
- Over 5 years, Cost of Revenue stood at $84.0 million in 2022, then grew by 29.82% to $109.1 million in 2023, then surged by 32.25% to $144.3 million in 2024, then climbed by 26.03% to $181.8 million in 2025, then fell by 8.08% to $167.1 million in 2026.
- Per Business Quant data, the three most recent Cost of Revenue figures were $167.1 million in Q2 2026, $137.2 million in Q1 2026, and $181.8 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Shopify | 166.44 Bn | 161.49 Bn | 1.71 Bn | 1.88 Bn |
| 2 | Global-E Online | 6.43 Bn | 6.07 Bn | 131.87 Mn | 167.13 Mn |
| 3 | Vtex | 629.70 Mn | 443.81 Mn | 51.71 Mn | 12.68 Mn |
| 4 | Rezolve Ai | 369.68 Mn | 258.57 Mn | - | - |
| 5 | Commerce.com | 275.92 Mn | 119.60 Mn | 63.53 Mn | 20.98 Mn |
| 6 | Baozun | 152.97 Mn | -66.33 Mn | 302.56 Mn | 100.63 Mn |
| 7 | BeLive Holdings | 24.01 Mn | 17.39 Mn | - | - |
| 8 | Paid | 18.65 Mn | 17.57 Mn | 1.22 Mn | 4.64 Mn |
| 9 | Caro Holdings | 11.71 Mn | 11.71 Mn | - | - |
| 10 | Amaze Holdings | 1.11 Mn | 1.11 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 167.13 Mn |
| Mar 31, 2026 | 137.21 Mn |
| Dec 31, 2025 | 181.81 Mn |
| Sep 30, 2025 | 121.13 Mn |
| Jun 30, 2025 | 117.21 Mn |
| Mar 31, 2025 | 105.80 Mn |
| Dec 31, 2024 | 144.25 Mn |
| Sep 30, 2024 | 95.91 Mn |
| Jun 30, 2024 | 90.58 Mn |
| Mar 31, 2024 | 82.59 Mn |
| Dec 31, 2023 | 109.08 Mn |
| Sep 30, 2023 | 77.09 Mn |
| Jun 30, 2023 | 78.42 Mn |
| Mar 31, 2023 | 71.76 Mn |
| Dec 31, 2022 | 84.02 Mn |
| Sep 30, 2022 | 64.75 Mn |
| Jun 30, 2022 | 52.95 Mn |
| Mar 31, 2022 | 49.14 Mn |
| Dec 31, 2021 | 50.06 Mn |
| Sep 30, 2021 | 36.31 Mn |
API Access
Global-E Online Cost of 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=cost-of-revenue&ticker=GLBE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=GLBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();