Mogu (MOGU) Other Operating Expenses (2017 - 2026)
Mogu's (MOGU) quarterly Other Operating Expenses came in at $491000.0 in Q1 2026, up 21.84% year-over-year from $403000.0 in Q1 2025, and up 21.84% quarter-over-quarter from $403000.0 in Q1 2025.
Mogu (MOGU) Other Operating Expenses (2017 - 2026) Analysis & Trends
Mogu has disclosed Other Operating Expenses across 10 years of filings, most recently posting $491000.0 for Q1 2026.
- In Q1 2026, Other Operating Expenses rose 21.84% year-over-year to $491000.0; the TTM figure through Mar 2026 stood at $2.6 million (down 37.99% YoY), while the FY2026 annual figure was $1.1 million, up 61.68% from the prior year.
- Other Operating Expenses came in at $491000.0 for Q1 2026 at Mogu, up from $403000.0 in the prior quarter.
- In the past five years, Other Operating Expenses ranged from a high of $2.1 million in Q1 2022 to a low of $403000.0 in Q1 2025.
- Average Other Operating Expenses over 5 years is $929000.0, with a median of $612000.0 recorded in 2023.
- Year-over-year, Other Operating Expenses surged 80.7% in 2022 and plunged 70.42% in 2023.
- Over 5 years, Other Operating Expenses stood at $2.1 million in 2022, then sank by 70.42% to $612000.0 in 2023, then surged by 74.84% to $1.1 million in 2024, then plunged by 62.34% to $403000.0 in 2025, then advanced by 21.84% to $491000.0 in 2026.
- Per Business Quant data, the three most recent Other Operating Expenses figures were $491000.0 in Q1 2026, $403000.0 in Q1 2025, and $1.1 million in Q1 2024.
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 | 491,000.00 |
| Mar 31, 2025 | 403,000.00 |
| Mar 31, 2024 | 1.07 Mn |
| Mar 31, 2023 | 612,000.00 |
| Mar 31, 2022 | 2.07 Mn |
| Sep 30, 2021 | 791,916.58 |
| Jun 30, 2021 | 1.11 Mn |
| Mar 31, 2021 | 1.15 Mn |
| Dec 31, 2020 | 4.22 Mn |
| Sep 30, 2020 | 1.26 Mn |
| Jun 30, 2020 | 896,000.00 |
| Mar 31, 2020 | 10,000.00 |
| Dec 31, 2019 | 484,000.00 |
| Sep 30, 2019 | 253,236.81 |
| Jun 30, 2019 | 918,000.13 |
| Mar 31, 2019 | 390,000.00 |
| Dec 31, 2018 | 1.45 Mn |
| Mar 31, 2018 | 1.35 Mn |
| Dec 31, 2017 | 413,373.38 |
Mogu Other Operating 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-operating-expenses&ticker=MOGU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=MOGU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();