Global-E Online (GLBE) Total Liabilities (2020 - 2026)
Global-E Online's (GLBE) quarterly Total Liabilities came in at $451.6 million in Q2 2026, up 47.24% year-over-year from $306.7 million in Q2 2025, and up 15.8% quarter-over-quarter from $390.0 million in Q1 2026.
Global-E Online (GLBE) Total Liabilities (2020 - 2026) Analysis & Trends
Global-E Online has disclosed Total Liabilities across 7 years of filings, most recently posting $451.6 million for Q2 2026.
- In Q2 2026, Total Liabilities rose 47.24% year-over-year to $451.6 million; the TTM figure through Jun 2026 stood at $451.6 million (up 47.24% YoY), while the FY2025 annual figure was $530.1 million, up 43.25% from the prior year.
- Total Liabilities came in at $451.6 million for Q2 2026 at Global-E Online, up from $390.0 million in the prior quarter.
- In the past five years, Total Liabilities ranged from a high of $530.1 million in Q4 2025 to a low of $143.2 million in Q1 2022.
- Average Total Liabilities over 5 years is $282.5 million, with a median of $274.7 million recorded in 2024.
- Year-over-year, Total Liabilities soared 114.35% in 2022 and climbed 10.69% in 2023.
- Over 5 years, Total Liabilities stood at $234.5 million in 2022, then advanced by 28.11% to $300.4 million in 2023, then climbed by 23.19% to $370.0 million in 2024, then surged by 43.25% to $530.1 million in 2025, then declined by 14.81% to $451.6 million in 2026.
- Per Business Quant data, the three most recent Total Liabilities figures were $451.6 million in Q2 2026, $390.0 million in Q1 2026, and $530.1 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Shopify | 166.44 Bn | 161.49 Bn | 1.71 Bn | 1.79 Bn |
| 2 | Global-E Online | 6.43 Bn | 6.07 Bn | 131.87 Mn | 451.60 Mn |
| 3 | Vtex | 629.70 Mn | 443.81 Mn | 51.71 Mn | 116.51 Mn |
| 4 | Rezolve Ai | 369.68 Mn | 258.57 Mn | - | 364.92 Mn |
| 5 | Commerce.com | 275.92 Mn | 119.60 Mn | 63.53 Mn | 273.21 Mn |
| 6 | Baozun | 152.97 Mn | -66.33 Mn | 302.56 Mn | 597.78 Mn |
| 7 | BeLive Holdings | 24.01 Mn | 17.39 Mn | - | 415,809.54 |
| 8 | Paid | 18.65 Mn | 17.57 Mn | 1.22 Mn | 2.74 Mn |
| 9 | Caro Holdings | 11.71 Mn | 11.71 Mn | - | 1.06 Mn |
| 10 | Amaze Holdings | 1.11 Mn | 1.11 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 451.60 Mn |
| Mar 31, 2026 | 389.99 Mn |
| Dec 31, 2025 | 530.10 Mn |
| Sep 30, 2025 | 345.52 Mn |
| Jun 30, 2025 | 306.71 Mn |
| Mar 31, 2025 | 297.48 Mn |
| Dec 31, 2024 | 370.05 Mn |
| Sep 30, 2024 | 297.68 Mn |
| Jun 30, 2024 | 251.89 Mn |
| Mar 31, 2024 | 219.88 Mn |
| Dec 31, 2023 | 300.38 Mn |
| Sep 30, 2023 | 210.30 Mn |
| Jun 30, 2023 | 198.38 Mn |
| Mar 31, 2023 | 181.56 Mn |
| Dec 31, 2022 | 234.48 Mn |
| Sep 30, 2022 | 189.98 Mn |
| Jun 30, 2022 | 165.65 Mn |
| Mar 31, 2022 | 143.22 Mn |
| Dec 31, 2021 | 150.38 Mn |
| Sep 30, 2021 | 88.63 Mn |
Global-E Online Total Liabilities 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=total-liabilities&ticker=GLBE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GLBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();