Palomino Laboratories (PALX) Net Cash Flow (2024 - 2025)
Palomino Laboratories (PALX) reported Net Cash Flow of $6.17 million for Q3 2025, compared with $51,572 a year earlier and up 289.2% from the prior quarter.
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Analysis
Palomino Laboratories (PALX) Net Cash Flow (2024 - 2025) Analysis & Trends
Over the twelve months ended Sep 30, 2025, Palomino Laboratories' Net Cash Flow came in at $7.74 million; for FY2024, it was $28,800.
- By year, Net Cash Flow came in at -$120.00 in FY2023 and $500.00 in FY2022.
- Per Business Quant data, the three quarters before Q3 2025 came in at $1.59 million (Q2 2025), $3,072 (Q1 2025) and -$22,714 (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,475.76 Bn | 5,249.92 Bn | 72.14 Bn | 9.21 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,370.28 Bn | 1,995.99 Bn | 27.22 Bn | -21.43 Bn |
| 3 | Broadcom | 1,695.25 Bn | 1,621.29 Bn | 20.46 Bn | 4.35 Bn |
| 4 | Micron Technology | 1,202.48 Bn | 1,141.24 Bn | 35.06 Bn | 11.09 Bn |
| 5 | Advanced Micro Devices | 991.55 Bn | 948.30 Bn | 6.20 Bn | -499.00 Mn |
| 6 | Asml Holding | 707.01 Bn | 662.84 Bn | 5.90 Bn | - |
| 7 | Intel | 584.63 Bn | 469.37 Bn | 6.51 Bn | -4.10 Bn |
| 8 | Applied Materials | 406.33 Bn | 371.77 Bn | 4.59 Bn | 735.00 Mn |
| 9 | Lam Research | 405.24 Bn | 382.04 Bn | 3.48 Bn | 833.18 Mn |
| 10 | Palomino Laboratories | 114.76 Mn | 98.72 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 6.17 Mn |
| Jun 30, 2025 | 1.59 Mn |
| Mar 31, 2025 | 3,072.00 |
| Dec 31, 2024 | -22,714.00 |
| Sep 30, 2024 | 51,572.00 |
API Access
Palomino Laboratories Net Cash Flow 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=net-cash-flow&ticker=PALX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "ticker": "PALX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-cash-flow&ticker=PALX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();