Alibaba Group Holding (BABA) Accumulated Expenses (2013 - 2026)
Alibaba Group Holding's (BABA) quarterly Accumulated Expenses came in at $4.7 billion in Q1 2026, up 7.44% year-over-year from $4.4 billion in Q1 2025, and up 7.44% quarter-over-quarter from $4.4 billion in Q1 2025.
Alibaba Group Holding (BABA) Accumulated Expenses (2013 - 2026) Analysis & Trends
Alibaba Group Holding has disclosed Accumulated Expenses across 13 years of filings, most recently posting $4.7 billion for Q1 2026.
- In Q1 2026, Accumulated Expenses rose 7.44% year-over-year to $4.7 billion; the TTM figure through Mar 2026 stood at $4.7 billion (up 7.44% YoY), while the FY2026 annual figure was $4.6 billion, up 4.79% from the prior year.
- Accumulated Expenses came in at $4.7 billion for Q1 2026 at Alibaba Group Holding, up from $4.4 billion in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $4.7 billion in Q1 2026 to a low of $4.1 billion in Q1 2024.
- Average Accumulated Expenses over 5 years is $4.4 billion, with a median of $4.4 billion recorded in 2025.
- Year-over-year, Accumulated Expenses gained 16.39% in 2022 and fell 5.08% in 2023.
- Over 5 years, Accumulated Expenses stood at $4.5 billion in 2022, then slipped by 5.08% to $4.2 billion in 2023, then fell by 2.25% to $4.1 billion in 2024, then increased by 5.25% to $4.4 billion in 2025, then rose by 7.44% to $4.7 billion in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $4.7 billion in Q1 2026, $4.4 billion in Q1 2025, and $4.1 billion in Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,070.34 Bn | 3,641.31 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,876.83 Bn | 1,786.57 Bn | 49.47 Bn |
| 3 | Netflix | 297.14 Bn | 288.01 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 257.29 Bn | 222.03 Bn | 15.11 Bn |
| 5 | Shopify | 184.36 Bn | 179.41 Bn | 1.71 Bn |
| 6 | Uber Technologies | 141.62 Bn | 136.41 Bn | 6.38 Bn |
| 7 | Booking Holdings | 117.14 Bn | 99.93 Bn | 4.98 Bn |
| 8 | PDD Holdings | 112.73 Bn | 82.45 Bn | 9.45 Bn |
| 9 | AppLovin | 105.70 Bn | 102.65 Bn | 1.70 Bn |
| 10 | Spotify Technology | 105.08 Bn | 94.17 Bn | 1.86 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.69 Bn |
| Mar 31, 2025 | 4.36 Bn |
| Sep 30, 2024 | 5.67 Bn |
| Mar 31, 2024 | 4.14 Bn |
| Mar 31, 2023 | 4.24 Bn |
| Mar 31, 2022 | 4.47 Bn |
| Mar 31, 2021 | 3.84 Bn |
| Sep 30, 2020 | 2.23 Bn |
| Mar 31, 2020 | 2.42 Bn |
| Jun 30, 2019 | 5.00 Mn |
| Mar 31, 2019 | -14.36 Mn |
| Dec 31, 2018 | 24.00 Mn |
| Sep 30, 2018 | 33.00 Mn |
| Jun 30, 2018 | 45.00 Mn |
| Mar 31, 2018 | -56.75 Mn |
| Dec 31, 2017 | 65.00 Mn |
| Sep 30, 2017 | 74.00 Mn |
| Jun 30, 2017 | 82.00 Mn |
| Mar 31, 2017 | -90.60 Mn |
| Dec 31, 2016 | 99.00 Mn |
Alibaba Group Holding Accumulated 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=accumulated-expenses&ticker=BABA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BABA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=BABA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();