Global-E Online (GLBE) Operating Leases (2020 - 2026)
Global-E Online's (GLBE) quarterly Operating Leases came in at $19.4 million in Q2 2026, down 2.76% year-over-year from $19.9 million in Q2 2025, and up 4.04% quarter-over-quarter from $18.6 million in Q1 2026.
Global-E Online (GLBE) Operating Leases (2020 - 2026) Analysis & Trends
Global-E Online has disclosed Operating Leases across 7 years of filings, most recently posting $19.4 million for Q2 2026.
- In Q2 2026, Operating Leases fell 2.76% year-over-year to $19.4 million; the TTM figure through Jun 2026 stood at $19.4 million (down 2.76% YoY), while the FY2025 annual figure was $18.4 million, down 10.05% from the prior year.
- Operating Leases came in at $19.4 million for Q2 2026 at Global-E Online, up from $18.6 million in the prior quarter.
- In the past five years, Operating Leases ranged from a high of $21.2 million in Q3 2024 to a low of $16.2 million in Q1 2023.
- Average Operating Leases over 5 years is $18.6 million, with a median of $18.5 million recorded in 2025.
- The largest YoY upside for Operating Leases was 540.24% in 2022 against a maximum downside of 11.83% in 2022.
- Over 5 years, Operating Leases stood at $16.6 million in 2022, then rose by 16.36% to $19.3 million in 2023, then advanced by 6.32% to $20.5 million in 2024, then fell by 10.05% to $18.4 million in 2025, then rose by 5.13% to $19.4 million in 2026.
- Per Business Quant data, the three most recent Operating Leases figures were $19.4 million in Q2 2026, $18.6 million in Q1 2026, and $18.4 million 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 | 19.40 Mn |
| Mar 31, 2026 | 18.64 Mn |
| Dec 31, 2025 | 18.45 Mn |
| Sep 30, 2025 | 19.14 Mn |
| Jun 30, 2025 | 19.95 Mn |
| Mar 31, 2025 | 19.51 Mn |
| Dec 31, 2024 | 20.51 Mn |
| Sep 30, 2024 | 21.23 Mn |
| Jun 30, 2024 | 18.24 Mn |
| Mar 31, 2024 | 18.38 Mn |
| Dec 31, 2023 | 19.29 Mn |
| Sep 30, 2023 | 17.81 Mn |
| Jun 30, 2023 | 19.00 Mn |
| Mar 31, 2023 | 16.22 Mn |
| Dec 31, 2022 | 16.58 Mn |
| Sep 30, 2022 | 16.90 Mn |
| Jun 30, 2022 | 16.93 Mn |
| Mar 31, 2022 | 18.24 Mn |
| Dec 31, 2021 | 18.80 Mn |
| Sep 30, 2021 | 2.64 Mn |
Global-E Online Operating Leases 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-leases&ticker=GLBE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=GLBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();