Palomino Laboratories (PALX) Change in Accured Expenses (2023 - 2025)
Palomino Laboratories (PALX) recorded Change in Accured Expenses of $464,910 in Q3 2025, compared with $2,803 a year earlier.
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Analysis
Palomino Laboratories (PALX) Change in Accured Expenses (2023 - 2025) Analysis & Trends
On a TTM basis, Palomino Laboratories' Change in Accured Expenses came in at $458,934 as of Sep 30, 2025; for FY2024, it came in at $5,443.
- Across earlier years, Change in Accured Expenses came in at -$12,442 in FY2023 and $12,500 in FY2022.
- The Q3 2025 figure is the highest quarterly Change in Accured Expenses in data going back to Q4 2023.
- Per Business Quant, the preceding three quarters came in at -$5,035 (Q2 2025), $40,315 (Q1 2025) and -$41,256 (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 252.00 Mn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 372.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 2.40 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | -652.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 803.00 Mn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 633.00 Mn |
| 10 | Palomino Laboratories | 113.42 Mn | 97.38 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 464,910.00 |
| Jun 30, 2025 | -5,035.00 |
| Mar 31, 2025 | 40,315.00 |
| Dec 31, 2024 | -41,256.00 |
| Sep 30, 2024 | 2,803.00 |
| Jun 30, 2024 | -3,158.00 |
| Mar 31, 2024 | 47,054.00 |
| Dec 31, 2023 | -28,442.00 |
API Access
Palomino Laboratories Change in Accured 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=change-in-accured-expenses&ticker=PALX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=PALX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();