Global-E Online (GLBE) Other Operating Expenses (2020 - 2026)
Global-E Online's Other Operating Expenses was $35.82 million in Q2 2026, down 18.5% from $43.96 million a year earlier but up 4.0% from the prior quarter.
Global-E Online (GLBE) Other Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Global-E Online's Other Operating Expenses was $152.49 million through Jun 30, 2026, down 36.9% year-over-year; for FY2025, it was $190.14 million, down 24.1% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of 80.8% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $250.66 million in FY2024 (+15.5%), $217.04 million in FY2023 (+5.3%), $206.1 million in FY2022 (+96.9%) and $104.69 million in FY2021 (+964.1%).
- Quarterly Other Operating Expenses has moved between $34.43 million (Q1 2026) and $70.94 million (Q4 2024) over five years.
- Compared with a year earlier, Other Operating Expenses has declined for five straight quarters, with an average decline of 14.8% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q4 2021 (growth of 842.9%); the worst was Q1 2026 (a decline of 46.1%).
- Per Business Quant data, GLBE's Other Operating Expenses in the three quarters before Q2 2026 was $34.43 million (Q1 2026), $43.84 million (Q4 2025) and $38.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,142.09 Bn | 3,899.62 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,754.39 Bn | 1,456.91 Bn | 49.47 Bn |
| 3 | Netflix | 291.47 Bn | 251.67 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 252.29 Bn | 66.07 Bn | 15.11 Bn |
| 5 | Shopify | 224.97 Bn | 202.15 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.88 Bn | 111.68 Bn | 6.38 Bn |
| 7 | Booking Holdings | 125.36 Bn | 58.41 Bn | - |
| 8 | PDD Holdings | 113.80 Bn | -129.98 Bn | 9.45 Bn |
| 9 | Spotify Technology | 108.58 Bn | 66.08 Bn | 1.86 Bn |
| 10 | Global-E Online | 7.04 Bn | 5.80 Bn | 131.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.82 Mn |
| Mar 31, 2026 | 34.43 Mn |
| Dec 31, 2025 | 43.84 Mn |
| Sep 30, 2025 | 38.07 Mn |
| 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 | 58.76 Mn |
| Sep 30, 2023 | 53.64 Mn |
| Jun 30, 2023 | 52.79 Mn |
| Mar 31, 2023 | 51.85 Mn |
| Dec 31, 2022 | 52.47 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();