Proficient Auto Logistics (PAL) Change in Cash (2023 - 2025)
Proficient Auto Logistics' Change in Cash came in at -$249,461 for Q4 2025, compared with -$1.45 million a year earlier.
Analysis
Proficient Auto Logistics (PAL) Change in Cash (2023 - 2025) Analysis & Trends
For FY2025, Proficient Auto Logistics' Change in Cash was -$1.11 million.
- Going back by year, Change in Cash was $14.94 million in FY2024, $649.00 in FY2023 and -$50,926 in FY2022.
- The five-year range for quarterly Change in Cash is -$19.44 million (Q3 2024) to $36.22 million (Q2 2024).
- Business Quant data shows PAL's Change in Cash at $888,954 (Q3 2025), $2.74 million (Q2 2025) and -$4.49 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 872.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 43.00 Mn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | -31.09 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | -1.15 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | -272.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 1.62 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | -462.00 Mn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | -4.14 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 572.70 Mn |
| 10 | Proficient Auto Logistics | 97.90 Mn | 47.31 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -249,461.00 |
| Sep 30, 2025 | 888,954.00 |
| Jun 30, 2025 | 2.74 Mn |
| Mar 31, 2025 | -4.49 Mn |
| Dec 31, 2024 | -1.45 Mn |
| Sep 30, 2024 | -19.44 Mn |
| Jun 30, 2024 | 36.22 Mn |
| Mar 31, 2024 | -382,135.00 |
| Dec 31, 2023 | -10.00 |
| Sep 30, 2023 | 1,761.00 |
API Access
Proficient Auto Logistics Change in Cash 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-cash&ticker=PAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "ticker": "PAL", "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-cash&ticker=PAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();