Mogu (MOGU) Inventory Average (2019 - 2026)
Mogu's (MOGU) quarterly Inventory Average came in at $7320.5 in Q1 2026, up 27.17% year-over-year from $5756.6 in Q1 2025, and up 53.9% quarter-over-quarter from $4756.6 in Q3 2025.
Mogu (MOGU) Inventory Average (2019 - 2026) Analysis & Trends
Mogu has disclosed Inventory Average across 8 years of filings, most recently posting $7320.5 for Q1 2026.
- In Q1 2026, Inventory Average rose 27.17% year-over-year to $7320.5; the TTM figure through Mar 2026 stood at $7320.5 (up 27.17% YoY), while the FY2026 annual figure was $4500.0, down 43.75% from the prior year.
- Inventory Average came in at $7320.5 for Q1 2026 at Mogu, up from $4756.6 in the prior quarter.
- In the past five years, Inventory Average ranged from a high of $21223.6 in Q1 2022 to a low of $4756.6 in Q3 2025.
- Average Inventory Average over 5 years is $12448.3, with a median of $12223.6 recorded in 2022.
- Year-over-year, Inventory Average sank 78.88% in 2022 and jumped 47.46% in 2023.
- Over 5 years, Inventory Average stood at $12223.6 in 2022, then jumped by 47.46% to $18024.5 in 2023, then tumbled by 34.24% to $11852.5 in 2024, then slumped by 59.87% to $4756.6 in 2025, then jumped by 53.9% to $7320.5 in 2026.
- Per Business Quant data, the three most recent Inventory Average figures were $7320.5 in Q1 2026, $4756.6 in Q3 2025, and $5756.6 in Q1 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory Avg. (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 | 749.50 Mn |
| 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 | 7,320.53 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 7,320.53 |
| Sep 30, 2025 | 4,756.61 |
| Mar 31, 2025 | 5,756.61 |
| Sep 30, 2024 | 11,852.47 |
| Mar 31, 2024 | 14,352.47 |
| Sep 30, 2023 | 18,024.46 |
| Mar 31, 2023 | 16,524.46 |
| Sep 30, 2022 | 12,223.63 |
| Mar 31, 2022 | 21,223.63 |
| Sep 30, 2021 | 33,000.00 |
| Jun 30, 2021 | 36,512.47 |
| Mar 31, 2021 | 100,512.47 |
| Dec 31, 2020 | 227,500.00 |
| Sep 30, 2020 | 322,500.00 |
| Jun 30, 2020 | 386,629.97 |
| Mar 31, 2020 | 1.20 Mn |
| Dec 31, 2019 | 1.21 Mn |
| Sep 30, 2019 | 589,000.00 |
| Jun 30, 2019 | 740,825.07 |
| Mar 31, 2019 | 712,325.07 |
Mogu Inventory Average 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=inventory-average&ticker=MOGU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory-average", "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=inventory-average&ticker=MOGU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();