DiDi Global (DIDIY) Operating Expenses (2020 - 2021)
DiDi Global's Operating Expenses was $3.32 billion in FY2025, up 43.4% from $2.31 billion in FY2024.
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Analysis
DiDi Global (DIDIY) Operating Expenses (2020 - 2021) Analysis & Trends
From FY2019 onward, DiDi Global has reported Operating Expenses for 7 years.
- Operating Expenses shows a five-year compound annual growth rate of -32.4% (FY2020 to FY2025).
- Annual Operating Expenses has moved between $2.31 billion (FY2024) and $34.88 billion (FY2021) over five years.
- Per Business Quant data, Operating Expenses in earlier years was $2.31 billion in FY2024 (-91.7%), $27.9 billion in FY2023 (+21.3%), $23 billion in FY2022 (-34.1%) and $34.88 billion in FY2021 (+48.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 87.00 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 51.61 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 1.50 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 5.19 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 1.21 Bn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 13.32 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 475.85 Mn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 645.39 Mn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 5.48 Bn |
| 10 | DiDi Global | 15.24 Bn | -11.13 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | -2.62 Bn |
| Sep 30, 2021 | 8.03 Bn |
| Jun 30, 2021 | 11.27 Bn |
| Dec 31, 2020 | 1.09 Bn |
| Sep 30, 2020 | 6.43 Bn |
| Jun 30, 2020 | 4.51 Bn |
API Access
DiDi Global 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=DIDIY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DIDIY", "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=DIDIY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();