Global-E Online (GLBE) Accumulated Expenses (2020 - 2026)
Global-E Online's (GLBE) quarterly Accumulated Expenses came in at $186.0 million in Q2 2026, up 37.18% year-over-year from $135.6 million in Q2 2025, and up 2.0% quarter-over-quarter from $182.4 million in Q1 2026.
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Analysis
Global-E Online (GLBE) Accumulated Expenses (2020 - 2026) Analysis & Trends
Global-E Online has disclosed Accumulated Expenses across 7 years of filings, most recently posting $186.0 million for Q2 2026.
- In Q2 2026, Accumulated Expenses rose 37.18% year-over-year to $186.0 million; the TTM figure through Jun 2026 stood at $186.0 million (up 37.18% YoY), while the FY2025 annual figure was $231.7 million, up 63.66% from the prior year.
- Accumulated Expenses came in at $186.0 million for Q2 2026 at Global-E Online, up from $182.4 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $231.7 million in Q4 2025 to a low of $48.8 million in Q1 2022.
- Average Accumulated Expenses over 5 years is $110.3 million, with a median of $98.0 million recorded in 2024.
- Year-over-year, Accumulated Expenses surged 172.91% in 2022 and gained 23.15% in 2023.
- Over 5 years, Accumulated Expenses stood at $76.0 million in 2022, then soared by 41.21% to $107.3 million in 2023, then surged by 31.91% to $141.6 million in 2024, then soared by 63.66% to $231.7 million in 2025, then dropped by 19.7% to $186.0 million in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $186.0 million in Q2 2026, $182.4 million in Q1 2026, and $231.7 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Shopify | 166.44 Bn | 161.49 Bn | 1.71 Bn |
| 2 | Global-E Online | 6.43 Bn | 6.07 Bn | 131.87 Mn |
| 3 | Vtex | 629.70 Mn | 443.81 Mn | 51.71 Mn |
| 4 | Rezolve Ai | 369.68 Mn | 258.57 Mn | - |
| 5 | Commerce.com | 275.92 Mn | 119.60 Mn | 63.53 Mn |
| 6 | Baozun | 152.97 Mn | -66.33 Mn | 302.56 Mn |
| 7 | BeLive Holdings | 24.01 Mn | 17.39 Mn | - |
| 8 | Paid | 18.65 Mn | 17.57 Mn | 1.22 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 | 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();