Global-E Online (GLBE) Accumulated Expenses (2020 - 2026)
Global-E Online (GLBE) posted Accumulated Expenses of $186.02 million for Q2 2026, up 37.2% from $135.6 million a year earlier and up 2.0% from the prior quarter.
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Analysis
Global-E Online (GLBE) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Global-E Online's Accumulated Expenses came in at $231.67 million, up 63.7% from FY2024.
- Annual Accumulated Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 51.1% (FY2020 to FY2025).
- In prior years, Global-E Online's Accumulated Expenses was $141.55 million in FY2024 (+31.9%), $107.31 million in FY2023 (+41.2%), $75.99 million in FY2022 (+60.5%) and $47.36 million in FY2021 (+60.9%).
- Quarterly Accumulated Expenses has run from a low of $30.88 million in Q3 2021 to a high of $231.67 million in Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 21 quarters, with growth averaging 45.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Accumulated Expenses ran from 23.1% in Q1 2023 to 915.9% in Q3 2021.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $182.37 million (Q1 2026), $231.67 million (Q4 2025) and $156.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 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 |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 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 |
| 10 | Global-E Online | 6.74 Bn | 5.50 Bn | 131.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 186.02 Mn |
| Mar 31, 2026 | 182.37 Mn |
| Dec 31, 2025 | 231.67 Mn |
| Sep 30, 2025 | 156.27 Mn |
| Jun 30, 2025 | 135.60 Mn |
| Mar 31, 2025 | 117.85 Mn |
| Dec 31, 2024 | 141.55 Mn |
| Sep 30, 2024 | 105.64 Mn |
| Jun 30, 2024 | 90.34 Mn |
| Mar 31, 2024 | 77.09 Mn |
| Dec 31, 2023 | 107.31 Mn |
| Sep 30, 2023 | 82.02 Mn |
| Jun 30, 2023 | 71.25 Mn |
| Mar 31, 2023 | 60.04 Mn |
| Dec 31, 2022 | 75.99 Mn |
| Sep 30, 2022 | 63.21 Mn |
| Jun 30, 2022 | 51.68 Mn |
| Mar 31, 2022 | 48.75 Mn |
| Dec 31, 2021 | 47.36 Mn |
| Sep 30, 2021 | 30.88 Mn |
API Access
Global-E Online Accumulated Expenses 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=accumulated-expenses&ticker=GLBE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GLBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();