Mogu (MOGU) Exchange Rate Effect (2017 - 2026)
Mogu's (MOGU) quarterly Exchange Rate Effect came in at -$280000.0 in Q1 2026, down 215.7% year-over-year from $242000.0 in Q1 2025, and down 215.7% quarter-over-quarter from $242000.0 in Q1 2025.
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Analysis
Mogu (MOGU) Exchange Rate Effect (2017 - 2026) Analysis & Trends
Mogu has disclosed Exchange Rate Effect across 10 years of filings, most recently posting -$280000.0 for Q1 2026.
- In Q1 2026, Exchange Rate Effect fell 215.7% year-over-year to -$280000.0; the TTM figure through Mar 2026 stood at -$833000.0 (up 48.48% YoY), while the FY2026 annual figure was -$391000.0, down 643.06% from the prior year.
- Exchange Rate Effect came in at -$280000.0 for Q1 2026 at Mogu, down from $242000.0 in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $242000.0 in Q1 2025 to a low of -$1.1 million in Q1 2022.
- Average Exchange Rate Effect over 5 years is -$379400.0, with a median of -$280000.0 recorded in 2026.
- Year-over-year, Exchange Rate Effect slumped 237.29% in 2022 and jumped 235.2% in 2025.
- Over 5 years, Exchange Rate Effect stood at -$1.1 million in 2022, then surged by 42.11% to -$616000.0 in 2023, then jumped by 70.94% to -$179000.0 in 2024, then jumped by 235.2% to $242000.0 in 2025, then plunged by 215.7% to -$280000.0 in 2026.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were -$280000.0 in Q1 2026, $242000.0 in Q1 2025, and -$179000.0 in Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Exchange Rate Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Alibaba Group Holding | 263.05 Bn | 227.79 Bn | 15.11 Bn | -224.00 Mn |
| 2 | Booking Holdings | 126.16 Bn | 108.94 Bn | 4.98 Bn | -111.00 Mn |
| 3 | PDD Holdings | 112.31 Bn | 82.02 Bn | 9.45 Bn | 182.40 Mn |
| 4 | Airbnb | 98.07 Bn | 86.00 Bn | 2.98 Bn | -28.00 Mn |
| 5 | Mercadolibre | 90.61 Bn | 75.42 Bn | 4.16 Bn | 21.00 Mn |
| 6 | Ebay | 49.77 Bn | 46.46 Bn | 2.30 Bn | -11.00 Mn |
| 7 | Expedia | 31.98 Bn | 24.85 Bn | 3.91 Bn | -8.00 Mn |
| 8 | Maplebear | 10.57 Bn | 9.72 Bn | 751.00 Mn | -2.00 Mn |
| 9 | Full Truck Alliance | 7.59 Bn | 6.63 Bn | - | -4.96 Mn |
| 10 | Mogu | 4.66 Bn | 4.62 Bn | 1.53 Mn | -34,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -280,000.00 |
| Mar 31, 2025 | 242,000.00 |
| Mar 31, 2024 | -179,000.00 |
| Mar 31, 2023 | -616,000.00 |
| Mar 31, 2022 | -1.06 Mn |
| Sep 30, 2021 | 42,818.84 |
| Jun 30, 2021 | -1.90 Mn |
| Mar 31, 2021 | 775,000.00 |
| Dec 31, 2020 | -5.96 Mn |
| Sep 30, 2020 | -5.64 Mn |
| Jun 30, 2020 | -122,000.00 |
| Mar 31, 2020 | 2.63 Mn |
| Dec 31, 2019 | -2.35 Mn |
| Sep 30, 2019 | 2.49 Mn |
| Jun 30, 2019 | 7.78 Mn |
| Mar 31, 2019 | -2.44 Mn |
| Dec 31, 2018 | -228,000.00 |
| Sep 30, 2018 | 3.92 Mn |
| Jun 30, 2018 | 7.22 Mn |
| Mar 31, 2018 | -4.80 Mn |
API Access
Mogu Exchange Rate Effect 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=exchange-rate-effect&ticker=MOGU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=MOGU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();