Mogu (MOGU) Other Accumulated Expenses (2018 - 2026)
Mogu's (MOGU) quarterly Other Accumulated Expenses came in at $1.4 million in Q1 2026, up 48.1% year-over-year from $922380.6 in Q1 2025, and up 45.01% quarter-over-quarter from $942000.0 in Q3 2025.
Mogu (MOGU) Other Accumulated Expenses (2018 - 2026) Analysis & Trends
Mogu has disclosed Other Accumulated Expenses across 9 years of filings, most recently posting $1.4 million for Q1 2026.
- In Q1 2026, Other Accumulated Expenses rose 48.1% year-over-year to $1.4 million; the TTM figure through Mar 2026 stood at $1.4 million (up 48.1% YoY), while the FY2026 annual figure was $1.4 million, up 48.48% from the prior year.
- Other Accumulated Expenses came in at $1.4 million for Q1 2026 at Mogu, up from $942000.0 in the prior quarter.
- In the past five years, Other Accumulated Expenses ranged from a high of $1.4 million in Q1 2026 to a low of $457000.0 in Q3 2023.
- Average Other Accumulated Expenses over 5 years is $678664.5, with a median of $486902.5 recorded in 2023.
- Year-over-year, Other Accumulated Expenses fell 9.48% in 2022 and soared 98.32% in 2025.
- Over 5 years, Other Accumulated Expenses stood at $468000.0 in 2022, then decreased by 2.35% to $457000.0 in 2023, then climbed by 3.94% to $475000.0 in 2024, then soared by 98.32% to $942000.0 in 2025, then jumped by 45.01% to $1.4 million in 2026.
- Per Business Quant data, the three most recent Other Accumulated Expenses figures were $1.4 million in Q1 2026, $942000.0 in Q3 2025, and $922380.6 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 | 1.37 Mn |
| Sep 30, 2025 | 942,000.00 |
| Mar 31, 2025 | 922,380.64 |
| Sep 30, 2024 | 475,000.00 |
| Mar 31, 2024 | 465,827.86 |
| Sep 30, 2023 | 457,000.00 |
| Mar 31, 2023 | 486,902.45 |
| Sep 30, 2022 | 468,000.00 |
| Mar 31, 2022 | 524,833.55 |
| Sep 30, 2021 | 517,000.00 |
| Jun 30, 2021 | 516,000.00 |
| Mar 31, 2021 | 513,875.39 |
| Dec 31, 2020 | 403,000.00 |
| Sep 30, 2020 | 387,000.00 |
| Jun 30, 2020 | 372,000.00 |
| Mar 31, 2020 | 376,846.77 |
| Dec 31, 2019 | 356,000.00 |
| Sep 30, 2019 | 346,000.00 |
| Jun 30, 2019 | 361,000.00 |
| Mar 31, 2019 | 366,513.10 |
Mogu Other 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=other-accumulated-expenses&ticker=MOGU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=MOGU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();