Global-E Online (GLBE) Operating Expenses (2020 - 2026)
Global-E Online (GLBE) posted Operating Expenses of $87.19 million for Q2 2026, unchanged from $87.16 million a year earlier and up 6.5% from the prior quarter.
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Analysis
Global-E Online (GLBE) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Global-E Online was $343.25 million, down 15.2% year-over-year; for FY2025, it was $364.58 million, down 10.5% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 59.7% (FY2020 to FY2025).
- In prior years, Global-E Online's Operating Expenses was $407.36 million in FY2024 (+9.9%), $370.66 million in FY2023 (+6.7%), $347.5 million in FY2022 (+121.2%) and $157.09 million in FY2021 (+348.1%).
- Quarterly Operating Expenses has run from a low of $50.9 million in Q3 2021 to a high of $113.48 million in Q4 2024 over five years.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with an average decline of 4.5%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 600.6%; the weakest was Q1 2026, with a decline of 20.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $81.91 million (Q1 2026), $91.58 million (Q4 2025) and $82.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 640.46 Mn |
| 10 | Global-E Online | 6.74 Bn | 5.50 Bn | 131.87 Mn | 87.19 Mn |
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();