Powell Max (PMAX) Other Non-Current Liabilities (2024 - 2025)
Analysis
Powell Max (PMAX) Other Non-Current Liabilities (2024 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 156.49 Bn | 114.42 Bn | 5.98 Bn |
| 2 | Cintas | 89.36 Bn | 88.45 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.13 Bn | 32.33 Bn | 1.06 Bn |
| 4 | Rollins | 18.53 Bn | 18.08 Bn | 582.90 Mn |
| 5 | APi | 18.33 Bn | 15.55 Bn | 770.00 Mn |
| 6 | UL Solutions | 16.46 Bn | 14.45 Bn | 423.00 Mn |
| 7 | Aramark | 14.43 Bn | 12.37 Bn | 430.34 Mn |
| 8 | Gartner | 12.19 Bn | 5.67 Bn | 1.07 Bn |
| 9 | Rentokil Initial | 12.05 Bn | 5.56 Bn | - |
| 10 | Powell Max | 196,174.60 | -5,438.53 Bn | - |
API Access
Powell Max Other Non-Current Liabilities 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-non-current-liabilities&ticker=PMAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "PMAX", "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-non-current-liabilities&ticker=PMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();