Global-E Online (GLBE) Research & Development (2020 - 2026)
Global-E Online's (GLBE) quarterly Research & Development came in at $35.0 million in Q2 2026, up 13.82% year-over-year from $30.7 million in Q2 2025, and up 6.08% quarter-over-quarter from $33.0 million in Q1 2026.
Global-E Online (GLBE) Research & Development (2020 - 2026) Analysis & Trends
Global-E Online has disclosed Research & Development across 7 years of filings, most recently posting $35.0 million for Q2 2026.
- In Q2 2026, Research & Development rose 13.82% year-over-year to $35.0 million; the TTM figure through Jun 2026 stood at $131.8 million (up 15.5% YoY), while the FY2025 annual figure was $122.8 million, up 16.37% from the prior year.
- Research & Development came in at $35.0 million for Q2 2026 at Global-E Online, up from $33.0 million in the prior quarter.
- In the past five years, Research & Development ranged from a high of $35.0 million in Q2 2026 to a low of $17.6 million in Q2 2022.
- Average Research & Development over 5 years is $26.4 million, with a median of $25.9 million recorded in 2023.
- Year-over-year, Research & Development jumped 224.89% in 2022 and increased 2.8% in 2024.
- Over 5 years, Research & Development stood at $23.7 million in 2022, then climbed by 6.21% to $25.2 million in 2023, then climbed by 12.38% to $28.3 million in 2024, then rose by 16.9% to $33.1 million in 2025, then climbed by 5.79% to $35.0 million in 2026.
- Per Business Quant data, the three most recent Research & Development figures were $35.0 million in Q2 2026, $33.0 million in Q1 2026, and $33.1 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Shopify | 166.44 Bn | 161.49 Bn | 1.71 Bn | 498.00 Mn |
| 2 | Global-E Online | 6.43 Bn | 6.07 Bn | 131.87 Mn | 34.98 Mn |
| 3 | Vtex | 629.70 Mn | 443.81 Mn | 51.71 Mn | -17.93 Mn |
| 4 | Rezolve Ai | 369.68 Mn | 258.57 Mn | - | - |
| 5 | Commerce.com | 275.92 Mn | 119.60 Mn | 63.53 Mn | 27.51 Mn |
| 6 | Baozun | 152.97 Mn | -66.33 Mn | 302.56 Mn | -173.50 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 | - | 99,890.00 |
| 10 | Amaze Holdings | 1.11 Mn | 1.11 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.98 Mn |
| Mar 31, 2026 | 32.98 Mn |
| Dec 31, 2025 | 33.06 Mn |
| Sep 30, 2025 | 30.82 Mn |
| Jun 30, 2025 | 30.73 Mn |
| Mar 31, 2025 | 28.14 Mn |
| Dec 31, 2024 | 28.28 Mn |
| Sep 30, 2024 | 26.99 Mn |
| Jun 30, 2024 | 26.68 Mn |
| Mar 31, 2024 | 23.54 Mn |
| Dec 31, 2023 | 25.17 Mn |
| Sep 30, 2023 | 24.88 Mn |
| Jun 30, 2023 | 24.62 Mn |
| Mar 31, 2023 | 22.90 Mn |
| Dec 31, 2022 | 23.70 Mn |
| Sep 30, 2022 | 22.22 Mn |
| Jun 30, 2022 | 17.60 Mn |
| Mar 31, 2022 | 17.69 Mn |
| Dec 31, 2021 | 10.30 Mn |
| Sep 30, 2021 | 8.28 Mn |
Global-E Online Research & Development 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=research-and-development&ticker=GLBE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=GLBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();