Global-E Online (GLBE) Cash & Equivalents (2020 - 2026)
Global-E Online's Cash & Equivalents came in at $285.36 million for Q2 2026, up 19.6% from $238.63 million a year earlier and up 62.9% from the prior quarter.
Global-E Online (GLBE) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Global-E Online's Cash & Equivalents was $245.86 million, down 3.4% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 29.1% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $254.62 million in FY2024 (+27.3%), $200.08 million in FY2023 (-5.4%), $211.52 million in FY2022 (-52.9%) and $448.62 million in FY2021 (+553.6%).
- The Q2 2026 figure represents the highest quarterly Cash & Equivalents since Q4 2021.
- Year-over-year, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 11.8%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2021 (growth of 553.6%), and the weakest in Q3 2022 (a decline of 65.4%).
- Business Quant data shows GLBE's Cash & Equivalents at $175.2 million (Q1 2026), $245.86 million (Q4 2025) and $251.38 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 9.10 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 17.21 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 19.00 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 6.78 Bn |
| 10 | Global-E Online | 6.74 Bn | 5.50 Bn | 131.87 Mn | 285.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 285.36 Mn |
| Mar 31, 2026 | 175.20 Mn |
| Dec 31, 2025 | 245.86 Mn |
| Sep 30, 2025 | 251.38 Mn |
| Jun 30, 2025 | 205.23 Mn |
| Mar 31, 2025 | 207.72 Mn |
| Dec 31, 2024 | 254.62 Mn |
| Sep 30, 2024 | 207.32 Mn |
| Jun 30, 2024 | 229.84 Mn |
| Mar 31, 2024 | 181.87 Mn |
| Dec 31, 2023 | 200.08 Mn |
| Sep 30, 2023 | 145.82 Mn |
| Jun 30, 2023 | 151.02 Mn |
| Mar 31, 2023 | 167.93 Mn |
| Dec 31, 2022 | 165.03 Mn |
| Sep 30, 2022 | 106.95 Mn |
| Jun 30, 2022 | 232.97 Mn |
| Mar 31, 2022 | 187.97 Mn |
| Dec 31, 2021 | 448.62 Mn |
| Sep 30, 2021 | 391.02 Mn |
Global-E Online Cash & Equivalents 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=cash-and-equivalents&ticker=GLBE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GLBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();