Alibaba Group Holding (BABA) Accumulated Expenses (2014 - 2026)
Alibaba Group Holding (BABA) recorded Accumulated Expenses of $2.48 billion in the quarter ended Jun 30, 2026, up 11.2% from $2.23 billion a year earlier and up 3.2% from the prior quarter.
Alibaba Group Holding (BABA) Accumulated Expenses (2014 - 2026) Analysis & Trends
As of Mar 31, 2026, Alibaba Group Holding reported Accumulated Expenses of $2.41 billion, up 9.7% from the prior year.
- Annual Accumulated Expenses has increased for 12 straight years, with a five-year compound annual growth rate of 16.5% (years ended Mar 2021 to Mar 2026).
- Across earlier years, Accumulated Expenses came in at $2.2 billion in the year ended Mar 31, 2025 (+7.6%), $2.04 billion in the year ended Mar 31, 2024 (+7.9%), $1.89 billion in the year ended Mar 31, 2023 (+21.8%) and $1.55 billion in the year ended Mar 31, 2022 (+38.4%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Accumulated Expenses in data going back to the quarter ended Mar 31, 2014.
- On a year-over-year basis, Accumulated Expenses has increased for 18 consecutive quarters, with growth averaging 8.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Accumulated Expenses ran from 1.1% in the quarter ended Sep 30, 2025 to 36.8% in the quarter ended Mar 31, 2022.
- Per Business Quant, the preceding three quarters came in at $2.4 billion (quarter ended Mar 31, 2026), $2.38 billion (quarter ended Dec 31, 2025) and $2.29 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,248.48 Bn | 4,006.00 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,873.50 Bn | 1,576.02 Bn | 49.47 Bn |
| 3 | Netflix | 304.25 Bn | 264.45 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 257.83 Bn | 71.60 Bn | 15.11 Bn |
| 5 | Shopify | 230.63 Bn | 207.82 Bn | 1.71 Bn |
| 6 | Uber Technologies | 145.10 Bn | 116.90 Bn | 6.38 Bn |
| 7 | Booking Holdings | 127.39 Bn | 60.44 Bn | - |
| 8 | PDD Holdings | 115.26 Bn | -128.52 Bn | 9.45 Bn |
| 9 | Spotify Technology | 109.42 Bn | 66.92 Bn | 1.86 Bn |
| 10 | Airbnb | 103.26 Bn | 56.49 Bn | 2.98 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 724.43 Mn |
| Mar 31, 2025 | 706.48 Mn |
| Mar 31, 2024 | 396.04 Mn |
| Mar 31, 2023 | 292.41 Mn |
| Sep 30, 2020 | 148.49 Mn |
| Mar 31, 2020 | 122.41 Mn |
| Jun 30, 2019 | 5.00 Mn |
| Mar 31, 2019 | 137.13 Mn |
| Dec 31, 2018 | 24.00 Mn |
| Sep 30, 2018 | 33.00 Mn |
| Jun 30, 2018 | 45.00 Mn |
| Mar 31, 2018 | 140.72 Mn |
| Dec 31, 2017 | 65.00 Mn |
| Sep 30, 2017 | 74.00 Mn |
| Jun 30, 2017 | 82.00 Mn |
| Mar 31, 2017 | 64.60 Mn |
| Dec 31, 2016 | 99.00 Mn |
| Sep 30, 2016 | 113.00 Mn |
| Jun 30, 2016 | 124.00 Mn |
| Mar 31, 2016 | 88.46 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();