Global-E Online (GLBE) Change in Accured Expenses (2020 - 2026)
Global-E Online (GLBE) recorded Change in Accured Expenses of $3.78 million in Q2 2026, down 78.9% from $17.89 million a year earlier.
Powered by 
Analysis
Global-E Online (GLBE) Change in Accured Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Global-E Online's Change in Accured Expenses came in at $49.01 million as of Jun 30, 2026, up 7.8% year-over-year; for FY2025, it was $88.69 million, up 158.8% from FY2024.
- Annual Change in Accured Expenses has increased for four straight years, with a five-year compound annual growth rate of 36.3% (FY2020 to FY2025).
- Across earlier years, Change in Accured Expenses came in at $34.27 million in FY2024 (+11.9%), $30.63 million in FY2023 (+49.2%), $20.53 million in FY2022 (+14.5%) and $17.93 million in FY2021 (-5.0%).
- Quarterly Change in Accured Expenses has ranged from -$49.28 million in Q1 2026 to $75.46 million in Q4 2025 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in five of the last six quarters, with growth averaging 29.2%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 195.7% in Q3 2023, against a decline of 78.9% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -$49.28 million (Q1 2026), $75.46 million (Q4 2025) and $19.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 6.31 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 5.93 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | -1.25 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | - |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 447.00 Mn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 2.38 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | - |
| 10 | Global-E Online | 6.74 Bn | 5.50 Bn | 131.87 Mn | 3.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.78 Mn |
| Mar 31, 2026 | -49.28 Mn |
| Dec 31, 2025 | 75.46 Mn |
| Sep 30, 2025 | 19.06 Mn |
| Jun 30, 2025 | 17.89 Mn |
| Mar 31, 2025 | -23.71 Mn |
| Dec 31, 2024 | 35.95 Mn |
| Sep 30, 2024 | 15.33 Mn |
| Jun 30, 2024 | 13.23 Mn |
| Mar 31, 2024 | -30.23 Mn |
| Dec 31, 2023 | 25.35 Mn |
| Sep 30, 2023 | 10.74 Mn |
| Jun 30, 2023 | 10.70 Mn |
| Mar 31, 2023 | -16.16 Mn |
| Dec 31, 2022 | 21.44 Mn |
| Sep 30, 2022 | 3.63 Mn |
| Jun 30, 2022 | 4.50 Mn |
| Mar 31, 2022 | -9.04 Mn |
| Dec 31, 2021 | 16.48 Mn |
| Sep 30, 2021 | 5.86 Mn |
API Access
Global-E Online Change in Accured Expenses 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=change-in-accured-expenses&ticker=GLBE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=GLBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();