Mogu (MOGU) Accumulated Expenses (2018 - 2026)
Mogu's (MOGU) quarterly Accumulated Expenses came in at $42.2 million in Q1 2026, up 1.74% year-over-year from $41.4 million in Q1 2025, and up 2.55% quarter-over-quarter from $41.1 million in Q3 2025.
Mogu (MOGU) Accumulated Expenses (2018 - 2026) Analysis & Trends
Mogu has disclosed Accumulated Expenses across 9 years of filings, most recently posting $42.2 million for Q1 2026.
- In Q1 2026, Accumulated Expenses rose 1.74% year-over-year to $42.2 million; the TTM figure through Mar 2026 stood at $42.2 million (up 1.74% YoY), while the FY2026 annual figure was $42.3 million, up 3801.47% from the prior year.
- Accumulated Expenses came in at $42.2 million for Q1 2026 at Mogu, up from $41.1 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $43.8 million in Q1 2023 to a low of $36.4 million in Q3 2023.
- Average Accumulated Expenses over 5 years is $41.0 million, with a median of $42.1 million recorded in 2024.
- Year-over-year, Accumulated Expenses declined 24.38% in 2022 and grew 15.9% in 2024.
- Over 5 years, Accumulated Expenses stood at $36.8 million in 2022, then declined by 1.34% to $36.4 million in 2023, then climbed by 15.9% to $42.1 million in 2024, then declined by 2.43% to $41.1 million in 2025, then rose by 2.55% to $42.2 million in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $42.2 million in Q1 2026, $41.1 million in Q3 2025, and $41.4 million in Q1 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alibaba Group Holding | 263.05 Bn | 227.79 Bn | 15.11 Bn |
| 2 | Booking Holdings | 126.16 Bn | 108.94 Bn | 4.98 Bn |
| 3 | PDD Holdings | 112.31 Bn | 82.02 Bn | 9.45 Bn |
| 4 | Airbnb | 98.07 Bn | 86.00 Bn | 2.98 Bn |
| 5 | Mercadolibre | 90.61 Bn | 75.42 Bn | 4.16 Bn |
| 6 | Ebay | 49.77 Bn | 46.46 Bn | 2.30 Bn |
| 7 | Expedia | 31.98 Bn | 24.85 Bn | 3.91 Bn |
| 8 | Maplebear | 10.57 Bn | 9.72 Bn | 751.00 Mn |
| 9 | Full Truck Alliance | 7.59 Bn | 6.63 Bn | - |
| 10 | Mogu | 4.66 Bn | 4.62 Bn | 1.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 42.16 Mn |
| Sep 30, 2025 | 41.11 Mn |
| Mar 31, 2025 | 41.44 Mn |
| Sep 30, 2024 | 42.13 Mn |
| Mar 31, 2024 | 42.12 Mn |
| Sep 30, 2023 | 36.35 Mn |
| Mar 31, 2023 | 43.75 Mn |
| Sep 30, 2022 | 36.85 Mn |
| Mar 31, 2022 | 42.96 Mn |
| Sep 30, 2021 | 48.73 Mn |
| Jun 30, 2021 | 50.99 Mn |
| Mar 31, 2021 | 51.39 Mn |
| Dec 31, 2020 | 51.60 Mn |
| Sep 30, 2020 | 51.14 Mn |
| Jun 30, 2020 | 52.45 Mn |
| Mar 31, 2020 | 56.39 Mn |
| Dec 31, 2019 | 64.40 Mn |
| Sep 30, 2019 | 61.00 Mn |
| Jun 30, 2019 | 63.91 Mn |
| Mar 31, 2019 | 72.92 Mn |
Mogu 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=MOGU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "MOGU", "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=MOGU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();