Palomino Laboratories (PALX) Other Accumulated Expenses (2022 - 2025)
Palomino Laboratories (PALX) recorded Other Accumulated Expenses of $3,140 in Q3 2025, down 93.0% from $44,750 a year earlier and down 51.7% from the prior quarter.
Palomino Laboratories (PALX) Other Accumulated Expenses (2022 - 2025) Analysis & Trends
Starting with Q4 2022, Palomino Laboratories' Other Accumulated Expenses history includes 9 quarters.
- Across earlier years, Other Accumulated Expenses came in at $32,000 in FY2023 (+113.3%) and $15,000 in FY2022.
- Quarterly Other Accumulated Expenses has ranged from $2,250 in Q1 2025 to $44,750 in Q3 2024 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses has declined for four consecutive quarters, with an average decline of 49.5% over the last five quarters.
- Per Business Quant, the preceding three quarters came in at $6,500 (Q2 2025), $2,250 (Q1 2025) and $3,140 (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 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 |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Palomino Laboratories | 113.42 Mn | 97.38 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 3,140.00 |
| Jun 30, 2025 | 6,500.00 |
| Mar 31, 2025 | 2,250.00 |
| Dec 31, 2024 | 3,140.00 |
| Sep 30, 2024 | 44,750.00 |
| Jun 30, 2024 | 40,500.00 |
| Mar 31, 2024 | 36,250.00 |
| Dec 31, 2023 | 32,000.00 |
| Dec 31, 2022 | 15,000.00 |
Palomino Laboratories Other 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=other-accumulated-expenses&ticker=PALX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=PALX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();