Mogu (MOGU) Operating Expenses (2017 - 2026)
Mogu's (MOGU) quarterly Operating Expenses came in at -$4.4 million in Q1 2026, up 22.13% year-over-year from -$3.6 million in Q1 2025, and up 22.13% quarter-over-quarter from -$5.7 million in Q1 2025.
Mogu (MOGU) Operating Expenses (2017 - 2026) Analysis & Trends
Mogu has disclosed Operating Expenses across 10 years of filings, most recently posting -$4.4 million for Q1 2026.
- In Q1 2026, Operating Expenses rose 22.13% year-over-year to -$4.4 million; the TTM figure through Mar 2026 stood at -$21.4 million (up 24.39% YoY), while the FY2026 annual figure was -$9.7 million, up 6.44% from the prior year.
- Operating Expenses came in at -$4.4 million for Q1 2026 at Mogu, up from -$5.7 million in the prior quarter.
- In the past five years, Operating Expenses ranged from a high of -$4.4 million in Q1 2026 to a low of -$11.3 million in Q1 2022.
- Average Operating Expenses over 5 years is -$6.5 million, with a median of -$5.7 million recorded in 2025.
- Year-over-year, Operating Expenses plunged 69.54% in 2022 and surged 44.01% in 2023.
- Over 5 years, Operating Expenses stood at -$11.3 million in 2022, then surged by 44.01% to -$6.4 million in 2023, then gained by 22.54% to -$4.9 million in 2024, then slipped by 15.86% to -$5.7 million in 2025, then increased by 22.13% to -$4.4 million in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were -$4.4 million in Q1 2026, -$5.7 million in Q1 2025, and -$4.9 million in Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alibaba Group Holding | 263.05 Bn | 227.79 Bn | 15.11 Bn | -8.86 Bn |
| 2 | Booking Holdings | 126.16 Bn | 108.94 Bn | 4.98 Bn | 4.85 Bn |
| 3 | PDD Holdings | 112.31 Bn | 82.02 Bn | 9.45 Bn | -5.39 Bn |
| 4 | Airbnb | 98.07 Bn | 86.00 Bn | 2.98 Bn | 2.85 Bn |
| 5 | Mercadolibre | 90.61 Bn | 75.42 Bn | 4.16 Bn | 3.48 Bn |
| 6 | Ebay | 49.77 Bn | 46.46 Bn | 2.30 Bn | 1.63 Bn |
| 7 | Expedia | 31.98 Bn | 24.85 Bn | 3.91 Bn | 2.55 Bn |
| 8 | Maplebear | 10.57 Bn | 9.72 Bn | 751.00 Mn | 608.00 Mn |
| 9 | Full Truck Alliance | 7.59 Bn | 6.63 Bn | - | -279.73 Mn |
| 10 | Mogu | 4.66 Bn | 4.62 Bn | 1.53 Mn | -4.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -4.44 Mn |
| Mar 31, 2025 | -5.70 Mn |
| Mar 31, 2024 | -4.92 Mn |
| Mar 31, 2023 | -6.35 Mn |
| Mar 31, 2022 | -11.34 Mn |
| Sep 30, 2021 | -6.34 Mn |
| Jun 30, 2021 | -6.74 Mn |
| Mar 31, 2021 | -6.69 Mn |
| Dec 31, 2020 | -7.85 Mn |
| Sep 30, 2020 | -7.31 Mn |
| Jun 30, 2020 | -7.16 Mn |
| Mar 31, 2020 | -5.99 Mn |
| Dec 31, 2019 | -10.36 Mn |
| Sep 30, 2019 | -12.33 Mn |
| Jun 30, 2019 | -12.90 Mn |
| Mar 31, 2019 | -15.23 Mn |
| Dec 31, 2018 | -14.62 Mn |
| Sep 30, 2018 | -13.96 Mn |
| Jun 30, 2018 | -15.00 Mn |
| Mar 31, 2018 | -12.45 Mn |
Mogu 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=operating-expenses&ticker=MOGU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=MOGU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();