Global-E Online (GLBE) Return on Capital Employed [ROCE] (2021 - 2026)
Global-E Online (GLBE) recorded Return on Capital Employed [ROCE] of 17.60% in Q2 2026, up 20.28 percentage points from -2.69% a year earlier and up 5.37 percentage points from the prior quarter.
Global-E Online (GLBE) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Global-E Online reported Return on Capital Employed [ROCE] of 8.40%, up 16.08 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for three straight years, with a four-year change of +26.04 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -7.68% in FY2024 (+7.40 pp), -15.08% in FY2023 (+8.74 pp), -23.82% in FY2022 (-6.18 pp) and -17.64% in FY2021.
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] in data going back to Q1 2021.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for 12 consecutive quarters, with an average year-over-year change of +12.06 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 20.28 percentage points in Q2 2026, against a drop of 28.88 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 12.23% (Q1 2026), 8.33% (Q4 2025) and 1.47% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 21.49% |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 23.74% |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 30.16% |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 2.13% |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 14.37% |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 13.97% |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 121.68% |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 22.53% |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 20.20% |
| 10 | Global-E Online | 6.74 Bn | 5.50 Bn | 131.87 Mn | 17.60% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.60% |
| Mar 31, 2026 | 12.23% |
| Dec 31, 2025 | 8.33% |
| Sep 30, 2025 | 1.47% |
| Jun 30, 2025 | -2.69% |
| Mar 31, 2025 | -6.12% |
| Dec 31, 2024 | -7.84% |
| Sep 30, 2024 | -10.98% |
| Jun 30, 2024 | -12.45% |
| Mar 31, 2024 | -12.96% |
| Dec 31, 2023 | -15.45% |
| Sep 30, 2023 | -15.99% |
| Jun 30, 2023 | -17.65% |
| Mar 31, 2023 | -18.33% |
| Dec 31, 2022 | -20.56% |
| Sep 30, 2022 | -19.10% |
| Jun 30, 2022 | -16.14% |
| Mar 31, 2022 | -14.49% |
| Dec 31, 2021 | -9.73% |
| Sep 30, 2021 | -5.68% |
Global-E Online Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=GLBE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=GLBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();