Powell Max (PMAX) Cash & Equivalents (2023 - 2025)
Powell Max (PMAX) recorded Cash & Equivalents of $882,027 in the quarter ended Dec 31, 2025, down 83.8% from $5.43 million a year earlier.
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Analysis
Powell Max (PMAX) Cash & Equivalents (2023 - 2025) Analysis & Trends
As of Dec 31, 2025, Powell Max reported Cash & Equivalents of $881,366, down 83.8% from the prior year.
- Annual Cash & Equivalents has a three-year compound annual growth rate of -97.7% (years ended Dec 2022 to Dec 2025).
- Across earlier years, Cash & Equivalents came in at $5.44 million in the year ended Dec 31, 2024 (-100.0%), $178.66 billion in the year ended Dec 31, 2023 (+132.6%) and $76.82 billion in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2025 is the lowest quarterly Cash & Equivalents since the quarter ended Sep 30, 2024.
- On a year-over-year basis, Cash & Equivalents rose in 1 of the last four quarters, with an average decline of 57.4%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 10.17 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 289.02 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 204.79 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 851.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 499.43 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 109.09 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 434.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 1.49 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | 2.47 Bn |
| 10 | Powell Max | 225,242.36 | -8.35 Mn | - | 882,026.92 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 882,026.92 |
| Jun 30, 2025 | 1.13 Mn |
| Dec 31, 2024 | 5.43 Mn |
| Sep 30, 2024 | 100.00 |
| Jun 30, 2024 | 265,828.00 |
| Mar 31, 2024 | 863.30 |
| Dec 31, 2023 | 178.66 Bn |
| Mar 31, 2023 | 1,990.52 |
API Access
Powell Max Cash & Equivalents 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=cash-and-equivalents&ticker=PMAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();