Global-E Online (GLBE) Net Cash Flow (2020 - 2026)
Global-E Online's (GLBE) quarterly Net Cash Flow came in at $137.9 million in Q2 2026, up 1937.35% year-over-year from $6.8 million in Q2 2025, and up 203.69% quarter-over-quarter from -$133.0 million in Q1 2026.
Global-E Online (GLBE) Net Cash Flow (2020 - 2026) Analysis & Trends
Global-E Online has disclosed Net Cash Flow across 7 years of filings, most recently posting $137.9 million for Q2 2026.
- In Q2 2026, Net Cash Flow rose 1937.35% year-over-year to $137.9 million; the TTM figure through Jun 2026 stood at $137.7 million (up 393.0% YoY), while the FY2025 annual figure was $32.3 million, down 52.26% from the prior year.
- Net Cash Flow came in at $137.9 million for Q2 2026 at Global-E Online, up from -$133.0 million in the prior quarter.
- In the past five years, Net Cash Flow ranged from a high of $137.9 million in Q2 2026 to a low of -$253.4 million in Q1 2022.
- Average Net Cash Flow over 5 years is -$4.4 million, with a median of -$7.5 million recorded in 2023.
- Year-over-year, Net Cash Flow slumped 9306.94% in 2022 and surged 1937.35% in 2026.
- Over 5 years, Net Cash Flow stood at $71.2 million in 2022, then grew by 16.6% to $83.0 million in 2023, then declined by 25.15% to $62.2 million in 2024, then climbed by 6.25% to $66.0 million in 2025, then surged by 108.82% to $137.9 million in 2026.
- Per Business Quant data, the three most recent Net Cash Flow figures were $137.9 million in Q2 2026, -$133.0 million in Q1 2026, and $66.0 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Cash Flow (Qtr) |
|---|---|---|---|---|---|
| 1 | Shopify | 166.44 Bn | 161.49 Bn | 1.71 Bn | -188.00 Mn |
| 2 | Global-E Online | 6.43 Bn | 6.07 Bn | 131.87 Mn | 137.89 Mn |
| 3 | Vtex | 629.70 Mn | 443.81 Mn | 51.71 Mn | -11.44 Mn |
| 4 | Rezolve Ai | 369.68 Mn | 258.57 Mn | - | - |
| 5 | Commerce.com | 275.92 Mn | 119.60 Mn | 63.53 Mn | -762,000.00 |
| 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 | 138,361.00 |
| 9 | Caro Holdings | 11.71 Mn | 11.71 Mn | - | -445.00 |
| 10 | Amaze Holdings | 1.11 Mn | 1.11 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 137.89 Mn |
| Mar 31, 2026 | -132.98 Mn |
| Dec 31, 2025 | 66.04 Mn |
| Sep 30, 2025 | 66.79 Mn |
| Jun 30, 2025 | -7.51 Mn |
| Mar 31, 2025 | -93.07 Mn |
| Dec 31, 2024 | 62.15 Mn |
| Sep 30, 2024 | -8.59 Mn |
| Jun 30, 2024 | 68.03 Mn |
| Mar 31, 2024 | -54.04 Mn |
| Dec 31, 2023 | 83.04 Mn |
| Sep 30, 2023 | -7.59 Mn |
| Jun 30, 2023 | -10.37 Mn |
| Mar 31, 2023 | -9.91 Mn |
| Dec 31, 2022 | 71.22 Mn |
| Sep 30, 2022 | -127.42 Mn |
| Jun 30, 2022 | 70.04 Mn |
| Mar 31, 2022 | -253.36 Mn |
| Dec 31, 2021 | 63.14 Mn |
| Sep 30, 2021 | 1.38 Mn |
Global-E Online Net Cash Flow 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=net-cash-flow&ticker=GLBE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=GLBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();