Global-E Online (GLBE) Capital Expenditures (2020 - 2026)
Global-E Online's (GLBE) quarterly Capital Expenditures came in at -$452000.0 in Q2 2026, up 68.61% year-over-year from -$268072.5 in Q2 2025, and down 25.21% quarter-over-quarter from -$361000.0 in Q1 2026.
Global-E Online (GLBE) Capital Expenditures (2020 - 2026) Analysis & Trends
Global-E Online has disclosed Capital Expenditures across 7 years of filings, most recently posting -$452000.0 for Q2 2026.
- In Q2 2026, Capital Expenditures rose 68.61% year-over-year to -$452000.0; the TTM figure through Jun 2026 stood at -$1.9 million (up 32.91% YoY), while the FY2025 annual figure was -$3.1 million, down 32.72% from the prior year.
- Capital Expenditures came in at -$452000.0 for Q2 2026 at Global-E Online, down from -$361000.0 in the prior quarter.
- In the past five years, Capital Expenditures ranged from a high of -$145000.0 in Q2 2023 to a low of -$4.7 million in Q1 2022.
- Average Capital Expenditures over 5 years is -$907777.8, with a median of -$515000.0 recorded in 2024.
- Year-over-year, Capital Expenditures sank 4008.77% in 2022 and soared 92.7% in 2023.
- Over 5 years, Capital Expenditures stood at -$370000.0 in 2022, then slumped by 150.27% to -$926000.0 in 2023, then soared by 47.95% to -$482000.0 in 2024, then gained by 17.84% to -$396000.0 in 2025, then decreased by 14.14% to -$452000.0 in 2026.
- Per Business Quant data, the three most recent Capital Expenditures figures were -$452000.0 in Q2 2026, -$361000.0 in Q1 2026, and -$396000.0 in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capital Expenditures (Qtr) |
|---|---|---|---|---|---|
| 1 | Shopify | 166.44 Bn | 161.49 Bn | 1.71 Bn | 4.00 Mn |
| 2 | Global-E Online | 6.43 Bn | 6.07 Bn | 131.87 Mn | -452,000.00 |
| 3 | Vtex | 629.70 Mn | 443.81 Mn | 51.71 Mn | -244,000.00 |
| 4 | Rezolve Ai | 369.68 Mn | 258.57 Mn | - | - |
| 5 | Commerce.com | 275.92 Mn | 119.60 Mn | 63.53 Mn | 5.04 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 | 1,127.00 |
| 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 | -452,000.00 |
| Mar 31, 2026 | -361,000.00 |
| Dec 31, 2025 | -396,000.00 |
| Sep 30, 2025 | -715,000.00 |
| Jun 30, 2025 | -1.44 Mn |
| Mar 31, 2025 | -548,000.00 |
| Dec 31, 2024 | -482,000.00 |
| Sep 30, 2024 | -398,000.00 |
| Jun 30, 2024 | -573,000.00 |
| Mar 31, 2024 | -882,000.00 |
| Dec 31, 2023 | -926,000.00 |
| Sep 30, 2023 | -328,000.00 |
| Jun 30, 2023 | -145,000.00 |
| Mar 31, 2023 | -342,000.00 |
| Dec 31, 2022 | -370,000.00 |
| Sep 30, 2022 | -1.40 Mn |
| Jun 30, 2022 | -1.90 Mn |
| Mar 31, 2022 | -4.68 Mn |
| Dec 31, 2021 | -2.26 Mn |
| Sep 30, 2021 | -361,000.00 |
Global-E Online Capital Expenditures 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=capital-expenditures&ticker=GLBE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=GLBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();