DiDi Global (DIDIY) Non Operating Interest Expenses (2020 - 2021)
DiDi Global's Non Operating Interest Expenses came in at $16.28 million for FY2023, down 43.1% from $28.61 million in FY2022.
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Analysis
DiDi Global (DIDIY) Non Operating Interest Expenses (2020 - 2021) Analysis & Trends
Going back to FY2019, DiDi Global's Non Operating Interest Expenses data covers 5 years.
- Non Operating Interest Expenses carries a four-year compound annual growth rate of 12.4% (FY2019 to FY2023).
- The FY2023 figure represents the lowest annual Non Operating Interest Expenses since FY2019.
- Per Business Quant, earlier years put Non Operating Interest Expenses at $28.61 million in FY2022 (-34.3%), $43.56 million in FY2021 (+111.7%), $20.57 million in FY2020 (+102.0%) and $10.18 million in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | 184.70 Mn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | -346.00 Mn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | - |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 152.00 Mn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 51.07 Mn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | -33.36 Mn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 311.00 Mn |
| 10 | DiDi Global | 15.24 Bn | -11.13 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | -10.00 Mn |
| Sep 30, 2021 | -10.00 Mn |
| Jun 30, 2021 | -13.31 Mn |
| Dec 31, 2020 | -7.70 Mn |
| Sep 30, 2020 | -6.65 Mn |
| Jun 30, 2020 | -2.82 Mn |
API Access
DiDi Global Non Operating Interest 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=non-operating-interest-expenses&ticker=DIDIY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=DIDIY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();