Global-E Online (GLBE) Return on Sales [ROS] (2020 - 2026)
Global-E Online (GLBE) reported Return on Sales [ROS] of 14.94% for Q2 2026, up 10.05 percentage points from 4.89% a year earlier and up 1.86 percentage points from the prior quarter.
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Analysis
Global-E Online (GLBE) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Global-E Online's Return on Sales [ROS] came in at 14.25%, up 17.16 percentage points year-over-year; for FY2025, it was 7.45%, up 16.47 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +1.28 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -9.02% in FY2024 (+15.02 pp), -24.05% in FY2023 (+22.24 pp), -46.28% in FY2022 (-19.51 pp) and -26.77% in FY2021 (-32.94 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -67.72% in Q1 2022 and a high of 18.79% in Q4 2025.
- Year over year, Return on Sales [ROS] has now increased in each of the last 15 quarters, with an average year-over-year change of +15.91 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2023 (a gain of 32.01 percentage points); the low point was Q1 2022 (a drop of 76.62 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 13.08% (Q1 2026), 18.79% (Q4 2025) and 7.73% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 34.03% |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 30.88% |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 33.38% |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 5.62% |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 13.62% |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 13.32% |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 34.00% |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 24.62% |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 13.71% |
| 10 | Global-E Online | 6.74 Bn | 5.50 Bn | 131.87 Mn | 14.94% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.94% |
| Mar 31, 2026 | 13.08% |
| Dec 31, 2025 | 18.79% |
| Sep 30, 2025 | 7.73% |
| Jun 30, 2025 | 4.89% |
| Mar 31, 2025 | -10.10% |
| Dec 31, 2024 | 1.97% |
| Sep 30, 2024 | -11.95% |
| Jun 30, 2024 | -13.58% |
| Mar 31, 2024 | -20.06% |
| Dec 31, 2023 | -12.44% |
| Sep 30, 2023 | -26.65% |
| Jun 30, 2023 | -27.30% |
| Mar 31, 2023 | -35.71% |
| Dec 31, 2022 | -25.10% |
| Sep 30, 2022 | -50.43% |
| Jun 30, 2022 | -56.47% |
| Mar 31, 2022 | -67.72% |
| Dec 31, 2021 | -26.83% |
| Sep 30, 2021 | -47.51% |
API Access
Global-E Online Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GLBE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GLBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();