Global-E Online (GLBE) Exchange Rate Effect (2022 - 2026)
Global-E Online's (GLBE) quarterly Exchange Rate Effect came in at $178000.0 in Q2 2026, down 97.06% year-over-year from $6.0 million in Q2 2025, and down 85.23% quarter-over-quarter from $1.2 million in Q1 2026.
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Analysis
Global-E Online (GLBE) Exchange Rate Effect (2022 - 2026) Analysis & Trends
Global-E Online has disclosed Exchange Rate Effect across 5 years of filings, most recently posting $178000.0 for Q2 2026.
- In Q2 2026, Exchange Rate Effect fell 97.06% year-over-year to $178000.0; the TTM figure through Jun 2026 stood at $4.8 million (down 23.9% YoY), while the FY2025 annual figure was $11.0 million, up 345.79% from the prior year.
- Exchange Rate Effect came in at $178000.0 for Q2 2026 at Global-E Online, down from $1.2 million in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $6.0 million in Q2 2025 to a low of -$5.9 million in Q2 2022.
- Average Exchange Rate Effect over 5 years is $108611.1, with a median of $381000.0 recorded in 2023.
- Year-over-year, Exchange Rate Effect plunged 566.78% in 2024 and soared 1135.1% in 2025.
- Over 5 years, Exchange Rate Effect stood at $3.5 million in 2022, then fell by 12.75% to $3.0 million in 2023, then slumped by 218.03% to -$3.6 million in 2024, then jumped by 165.03% to $2.3 million in 2025, then plunged by 92.3% to $178000.0 in 2026.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were $178000.0 in Q2 2026, $1.2 million in Q1 2026, and $2.3 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Exchange Rate Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Shopify | 166.44 Bn | 161.49 Bn | 1.71 Bn | -4.00 Mn |
| 2 | Global-E Online | 6.43 Bn | 6.07 Bn | 131.87 Mn | 178,000.00 |
| 3 | Vtex | 629.70 Mn | 443.81 Mn | 51.71 Mn | 17,000.00 |
| 4 | Rezolve Ai | 369.68 Mn | 258.57 Mn | - | - |
| 5 | Commerce.com | 275.92 Mn | 119.60 Mn | 63.53 Mn | - |
| 6 | Baozun | 152.97 Mn | -66.33 Mn | 302.56 Mn | - |
| 7 | BeLive Holdings | 24.01 Mn | 17.39 Mn | - | - |
| 8 | Paid | 18.65 Mn | 17.57 Mn | 1.22 Mn | -19,926.00 |
| 9 | Caro Holdings | 11.71 Mn | 11.71 Mn | - | 19.00 |
| 10 | Amaze Holdings | 1.11 Mn | 1.11 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 178,000.00 |
| Mar 31, 2026 | 1.21 Mn |
| Dec 31, 2025 | 2.31 Mn |
| Sep 30, 2025 | 1.15 Mn |
| Jun 30, 2025 | 6.05 Mn |
| Mar 31, 2025 | 1.48 Mn |
| Dec 31, 2024 | -3.55 Mn |
| Sep 30, 2024 | 2.40 Mn |
| Jun 30, 2024 | -584,000.00 |
| Mar 31, 2024 | -2.73 Mn |
| Dec 31, 2023 | 3.01 Mn |
| Sep 30, 2023 | -1.85 Mn |
| Jun 30, 2023 | 156,000.00 |
| Mar 31, 2023 | 584,000.00 |
| Dec 31, 2022 | 3.45 Mn |
| Sep 30, 2022 | -3.72 Mn |
| Jun 30, 2022 | -5.91 Mn |
| Mar 31, 2022 | -1.67 Mn |
API Access
Global-E Online Exchange Rate Effect 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=exchange-rate-effect&ticker=GLBE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=GLBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();