Mogu (MOGU) EBITDA (2017 - 2026)
Mogu's (MOGU) quarterly EBITDA came in at -$4.9 million in Q1 2026, little changed year-over-year from -$5.0 million in Q1 2025, and little changed quarter-over-quarter from -$4.9 million in Q1 2025.
Mogu (MOGU) EBITDA (2017 - 2026) Analysis & Trends
Mogu has disclosed EBITDA across 10 years of filings, most recently posting -$4.9 million for Q1 2026.
- In Q1 2026, EBITDA changed 0.35% year-over-year to -$4.9 million; the TTM figure through Mar 2026 stood at -$13.7 million (down 20.81% YoY), while the FY2026 annual figure was -$8.8 million, up 9.69% from the prior year.
- EBITDA came in at -$4.9 million for Q1 2026 at Mogu, roughly flat from -$4.9 million in the prior quarter.
- In the past five years, EBITDA ranged from a high of -$985000.0 in Q1 2023 to a low of -$4.9 million in Q1 2026.
- Average EBITDA over 5 years is -$3.3 million, with a median of -$2.9 million recorded in 2024.
- Year-over-year, EBITDA soared 61.84% in 2023 and sank 190.25% in 2024.
- Over 5 years, EBITDA stood at -$2.6 million in 2022, then soared by 61.84% to -$985000.0 in 2023, then slumped by 190.25% to -$2.9 million in 2024, then sank by 72.3% to -$4.9 million in 2025, then slipped by 0.35% to -$4.9 million in 2026.
- Per Business Quant data, the three most recent EBITDA figures were -$4.9 million in Q1 2026, -$4.9 million in Q1 2025, and -$2.9 million in Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alibaba Group Holding | 263.05 Bn | 227.79 Bn | 15.11 Bn | 5.77 Bn |
| 2 | Booking Holdings | 126.16 Bn | 108.94 Bn | 4.98 Bn | 2.50 Bn |
| 3 | PDD Holdings | 112.31 Bn | 82.02 Bn | 9.45 Bn | 4.08 Bn |
| 4 | Airbnb | 98.07 Bn | 86.00 Bn | 2.98 Bn | 758.00 Mn |
| 5 | Mercadolibre | 90.61 Bn | 75.42 Bn | 4.16 Bn | 683.00 Mn |
| 6 | Ebay | 49.77 Bn | 46.46 Bn | 2.30 Bn | 676.00 Mn |
| 7 | Expedia | 31.98 Bn | 24.85 Bn | 3.91 Bn | 1.02 Bn |
| 8 | Maplebear | 10.57 Bn | 9.72 Bn | 751.00 Mn | 143.00 Mn |
| 9 | Full Truck Alliance | 7.59 Bn | 6.63 Bn | - | 218.24 Mn |
| 10 | Mogu | 4.66 Bn | 4.62 Bn | 1.53 Mn | -4.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -4.94 Mn |
| Mar 31, 2025 | -4.93 Mn |
| Mar 31, 2024 | -2.86 Mn |
| Mar 31, 2023 | -985,000.00 |
| Mar 31, 2022 | -2.58 Mn |
| Sep 30, 2021 | -7.35 Mn |
| Jun 30, 2021 | -3.90 Mn |
| Mar 31, 2021 | -3.07 Mn |
| Dec 31, 2020 | 185,000.00 |
| Sep 30, 2020 | -2.23 Mn |
| Jun 30, 2020 | -2.47 Mn |
| Mar 31, 2020 | -11.80 Mn |
| Dec 31, 2019 | -12.45 Mn |
| Sep 30, 2019 | -17.43 Mn |
| Jun 30, 2019 | -3.68 Mn |
| Mar 31, 2019 | -13.02 Mn |
| Dec 31, 2018 | -766,000.00 |
| Sep 30, 2018 | -16.64 Mn |
| Jun 30, 2018 | -9.24 Mn |
| Mar 31, 2018 | -11.68 Mn |
Mogu EBITDA 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=ebitda&ticker=MOGU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MOGU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();