Pony (PNYG) Accumulated Expenses (2019)
Pony's (PNYG) quarterly Accumulated Expenses came in at $69727.0 in Q4 2019.
Analysis
Pony (PNYG) Accumulated Expenses (2019) Analysis & Trends
Pony (PNYG) has reported Accumulated Expenses for 1 consecutive years, with $69727.0 the latest figure, recorded in Q4 2019.
- On a quarterly basis, Accumulated Expenses changed N/A year-over-year to $69727.0 in Q4 2019; TTM through Dec 2019 was $69727.0, a N/A change from a year earlier, with the FY2019 full-year figure at $69727.0, changed N/A from the prior year.
- Accumulated Expenses was $69727.0 for Q4 2019 at Pony.
- Over five years, Accumulated Expenses peaked at $69727.0 in Q4 2019 and troughed at $69727.0 in Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Uber Technologies | 143.82 Bn | 138.61 Bn | 6.38 Bn |
| 2 | DoorDash | 83.59 Bn | 78.26 Bn | 2.35 Bn |
| 3 | Grab Holdings | 11.46 Bn | 7.73 Bn | 435.00 Mn |
| 4 | Lyft | 5.72 Bn | 3.92 Bn | 917.12 Mn |
| 5 | Marti Technologies | 172.09 Mn | 159.58 Mn | 15.30 Mn |
| 6 | Ryde | 90.02 Mn | 90.02 Mn | - |
| 7 | Swvl Holdings | 42.55 Mn | 35.16 Mn | - |
| 8 | Scientific Energy | 7.90 Mn | -601,872.18 | 7.63 Mn |
| 9 | Pony | 689,999.98 | 680,158.98 | 3,440.00 |
| 10 | Freight Technologies | 71,357.58 | -275,360.42 | 373,200.00 |
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_KEY
import 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();