DiDi Global (DIDIY) Other Operating Expenses (2020 - 2021)
DiDi Global (DIDIY) posted Other Operating Expenses of $230.68 million for FY2025, up 865.2% from $23.9 million in FY2024.
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Analysis
DiDi Global (DIDIY) Other Operating Expenses (2020 - 2021) Analysis & Trends
Since FY2019, DiDi Global has reported Other Operating Expenses for 7 years.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of -59.6% (FY2020 to FY2025).
- Annual Other Operating Expenses has run from a low of $10.33 million in FY2022 to a high of $28.9 billion in FY2021 over five years.
- Business Quant data shows DIDIY's Other Operating Expenses at $23.9 million in FY2024 (-94.0%), $395.54 million in FY2023, $10.33 million in FY2022 (-100.0%) and $28.9 billion in FY2021 (+35.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - |
| 10 | DiDi Global | 15.24 Bn | -11.13 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | -268.00 Mn |
| Sep 30, 2021 | -296.00 Mn |
| Jun 30, 2021 | -332.57 Mn |
| Dec 31, 2020 | -249.58 Mn |
| Sep 30, 2020 | -176.12 Mn |
| Jun 30, 2020 | -130.69 Mn |
API Access
DiDi Global Other 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=other-operating-expenses&ticker=DIDIY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=DIDIY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();