Global-E Online (GLBE) Operating Expenses (2020 - 2026)
Global-E Online's (GLBE) quarterly Operating Expenses came in at $87.2 million in Q2 2026, little changed year-over-year from $87.2 million in Q2 2025, and up 6.45% quarter-over-quarter from $81.9 million in Q1 2026.
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Analysis
Global-E Online (GLBE) Operating Expenses (2020 - 2026) Analysis & Trends
Global-E Online has disclosed Operating Expenses across 7 years of filings, most recently posting $87.2 million for Q2 2026.
- In Q2 2026, Operating Expenses changed 0.04% year-over-year to $87.2 million; the TTM figure through Jun 2026 stood at $343.3 million (down 15.24% YoY), while the FY2025 annual figure was $364.6 million, down 10.5% from the prior year.
- Operating Expenses came in at $87.2 million for Q2 2026 at Global-E Online, up from $81.9 million in the prior quarter.
- In the past five years, Operating Expenses ranged from a high of $113.5 million in Q4 2024 to a low of $78.9 million in Q1 2022.
- Average Operating Expenses over 5 years is $92.2 million, with a median of $91.4 million recorded in 2023.
- Year-over-year, Operating Expenses surged 600.6% in 2022 and decreased 20.68% in 2026.
- Over 5 years, Operating Expenses stood at $90.9 million in 2022, then grew by 9.27% to $99.4 million in 2023, then gained by 14.19% to $113.5 million in 2024, then dropped by 19.29% to $91.6 million in 2025, then fell by 4.79% to $87.2 million in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were $87.2 million in Q2 2026, $81.9 million in Q1 2026, and $91.6 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Shopify | 166.44 Bn | 161.49 Bn | 1.71 Bn | 1.22 Bn |
| 2 | Global-E Online | 6.43 Bn | 6.07 Bn | 131.87 Mn | 87.19 Mn |
| 3 | Vtex | 629.70 Mn | 443.81 Mn | 51.71 Mn | -26.70 Mn |
| 4 | Rezolve Ai | 369.68 Mn | 258.57 Mn | - | - |
| 5 | Commerce.com | 275.92 Mn | 119.60 Mn | 63.53 Mn | 60.83 Mn |
| 6 | Baozun | 152.97 Mn | -66.33 Mn | 302.56 Mn | -394.92 Mn |
| 7 | BeLive Holdings | 24.01 Mn | 17.39 Mn | - | - |
| 8 | Paid | 18.65 Mn | 17.57 Mn | 1.22 Mn | 1.25 Mn |
| 9 | Caro Holdings | 11.71 Mn | 11.71 Mn | - | 161,540.00 |
| 10 | Amaze Holdings | 1.11 Mn | 1.11 Mn | - | 700.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.19 Mn |
| Mar 31, 2026 | 81.91 Mn |
| Dec 31, 2025 | 91.58 Mn |
| Sep 30, 2025 | 82.57 Mn |
| Jun 30, 2025 | 87.16 Mn |
| Mar 31, 2025 | 103.27 Mn |
| Dec 31, 2024 | 113.48 Mn |
| Sep 30, 2024 | 101.09 Mn |
| Jun 30, 2024 | 100.25 Mn |
| Mar 31, 2024 | 92.55 Mn |
| Dec 31, 2023 | 99.38 Mn |
| Sep 30, 2023 | 92.12 Mn |
| Jun 30, 2023 | 91.29 Mn |
| Mar 31, 2023 | 87.88 Mn |
| Dec 31, 2022 | 90.95 Mn |
| Sep 30, 2022 | 94.03 Mn |
| Jun 30, 2022 | 83.65 Mn |
| Mar 31, 2022 | 78.87 Mn |
| Dec 31, 2021 | 54.85 Mn |
| Sep 30, 2021 | 50.90 Mn |
API Access
Global-E Online Operating 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=operating-expenses&ticker=GLBE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=GLBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();