Global-E Online (GLBE) Cost of Revenue (2020 - 2026)
Global-E Online's Cost of Revenue was $167.13 million in Q2 2026, up 42.6% from $117.21 million a year earlier and up 21.8% from the prior quarter.
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Analysis
Global-E Online (GLBE) Cost of Revenue (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Global-E Online's Cost of Revenue was $607.28 million through Jun 30, 2026, up 31.1% year-over-year; for FY2025, it came in at $525.95 million, up 27.2% from FY2024.
- Cost of Revenue has now increased for six consecutive years, with a five-year compound annual growth rate of 41.4% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $413.33 million in FY2024 (+22.9%), $336.34 million in FY2023 (+34.1%), $250.87 million in FY2022 (+63.1%) and $153.84 million in FY2021 (+65.6%).
- Quarterly Cost of Revenue has moved between $36.31 million (Q3 2021) and $181.81 million (Q4 2025) over five years.
- Compared with a year earlier, Cost of Revenue has increased for 22 straight quarters, with growth averaging 29.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Cost of Revenue ran from 15.1% in Q1 2024 to 78.3% in Q3 2022.
- Per Business Quant data, GLBE's Cost of Revenue in the three quarters before Q2 2026 was $137.21 million (Q1 2026), $181.81 million (Q4 2025) and $121.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 45.94 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 11.33 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 6.04 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 24.48 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 1.88 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 7.82 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | - |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 7.08 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 3.70 Bn |
| 10 | Global-E Online | 6.74 Bn | 5.50 Bn | 131.87 Mn | 167.13 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();