Pony (PNYG) Accumulated Expenses (2019)
Pony's Accumulated Expenses came in at $139,454 for Q4 2019.
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Analysis
Pony (PNYG) Accumulated Expenses (2019) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,933.83 Bn | 3,691.35 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,646.47 Bn | 1,348.99 Bn | 49.47 Bn |
| 3 | Netflix | 274.49 Bn | 235.79 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 232.59 Bn | 46.36 Bn | 15.11 Bn |
| 5 | Shopify | 219.57 Bn | 196.76 Bn | 1.71 Bn |
| 6 | Uber Technologies | 138.17 Bn | 109.97 Bn | 6.38 Bn |
| 7 | Booking Holdings | 120.57 Bn | 53.62 Bn | - |
| 8 | Spotify Technology | 117.87 Bn | 74.79 Bn | 1.89 Bn |
| 9 | PDD Holdings | 110.30 Bn | -133.48 Bn | 9.45 Bn |
| 10 | Pony | 689,999.98 | 654,026.98 | 3,440.00 |
API Access
Pony Accumulated 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=accumulated-expenses&ticker=PNYG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "PNYG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=PNYG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();