Global-E Online (GLBE) Research & Development (2020 - 2026)
Global-E Online's Research & Development came in at $34.98 million for Q2 2026, up 13.8% from $30.73 million a year earlier and up 6.1% from the prior quarter.
Global-E Online (GLBE) Research & Development (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Global-E Online reported Research & Development of $131.84 million, up 15.5% year-over-year; for FY2025, it was $122.76 million, up 16.4% from FY2024.
- Research & Development has increased in each of the last six years, with a five-year compound annual growth rate of 51.5% (FY2020 to FY2025).
- Going back by year, Research & Development was $105.49 million in FY2024 (+8.1%), $97.57 million in FY2023 (+20.1%), $81.21 million in FY2022 (+172.9%) and $29.76 million in FY2021 (+93.3%).
- The Q2 2026 figure represents the highest quarterly Research & Development in data going back to Q1 2020.
- Year-over-year, Research & Development has increased for 22 consecutive quarters, with growth averaging 14.7% over the last eight quarters.
- The year-over-year growth in Research & Development has ranged between 2.8% (Q1 2024) and 224.9% (Q1 2022) over the last five years.
- Business Quant data shows GLBE's Research & Development at $32.98 million (Q1 2026), $33.06 million (Q4 2025) and $30.82 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 18.22 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 21.66 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 1.01 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | -3.32 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 445.00 Mn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 1.04 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | - |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | -673.00 Mn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 468.43 Mn |
| 10 | Global-E Online | 6.74 Bn | 5.50 Bn | 131.87 Mn | 34.98 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();