Global-E Online (GLBE) Other Operating Expenses (2020 - 2026)
Global-E Online's (GLBE) quarterly Other Operating Expenses came in at $35.7 million in Q2 2026, down 18.8% year-over-year from $44.0 million in Q2 2025, and up 4.04% quarter-over-quarter from $34.3 million in Q1 2026.
Global-E Online (GLBE) Other Operating Expenses (2020 - 2026) Analysis & Trends
Global-E Online has disclosed Other Operating Expenses across 7 years of filings, most recently posting $35.7 million for Q2 2026.
- In Q2 2026, Other Operating Expenses fell 18.8% year-over-year to $35.7 million; the TTM figure through Jun 2026 stood at $70.2 million (down 70.93% YoY), while the FY2025 annual figure was $210000.0, down 99.92% from the prior year.
- Other Operating Expenses came in at $35.7 million for Q2 2026 at Global-E Online, up from $34.3 million in the prior quarter.
- In the past five years, Other Operating Expenses ranged from a high of $70.9 million in Q4 2024 to a low of $84000.0 in Q3 2025.
- Average Other Operating Expenses over 5 years is $46.0 million, with a median of $49.6 million recorded in 2022.
- Year-over-year, Other Operating Expenses surged 1487.38% in 2022 and slumped 99.87% in 2025.
- Over 5 years, Other Operating Expenses stood at $49.4 million in 2022, then rose by 12.69% to $55.7 million in 2023, then gained by 27.32% to $70.9 million in 2024, then slumped by 99.82% to $126000.0 in 2025, then soared by 28229.37% to $35.7 million in 2026.
- Per Business Quant data, the three most recent Other Operating Expenses figures were $35.7 million in Q2 2026, $34.3 million in Q1 2026, and $126000.0 in Q4 2025.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.70 Mn |
| Mar 31, 2026 | 34.31 Mn |
| Dec 31, 2025 | 126,000.00 |
| Sep 30, 2025 | 84,000.00 |
| Jun 30, 2025 | 43.96 Mn |
| Mar 31, 2025 | 63.94 Mn |
| Dec 31, 2024 | 70.94 Mn |
| Sep 30, 2024 | 62.68 Mn |
| Jun 30, 2024 | 60.09 Mn |
| Mar 31, 2024 | 56.96 Mn |
| Dec 31, 2023 | 55.72 Mn |
| Sep 30, 2023 | 50.60 Mn |
| Jun 30, 2023 | 49.75 Mn |
| Mar 31, 2023 | 48.81 Mn |
| Dec 31, 2022 | 49.44 Mn |
| Sep 30, 2022 | 45.72 Mn |
| Jun 30, 2022 | 50.24 Mn |
| Mar 31, 2022 | 49.19 Mn |
| Dec 31, 2021 | 36.14 Mn |
| Sep 30, 2021 | 34.85 Mn |
Global-E Online Other 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=other-operating-expenses&ticker=GLBE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=GLBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();