PS International (PSIG) Cash & Equivalents (2022 - 2025)
PS International (PSIG) posted Cash & Equivalents of $8.94 million for Q4 2025, up 9.5% from $8.16 million a year earlier.
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Analysis
PS International (PSIG) Cash & Equivalents (2022 - 2025) Analysis & Trends
Since Q4 2022, PS International has reported Cash & Equivalents for 6 quarters.
- Annual Cash & Equivalents shows a three-year compound annual growth rate of 6.0% (FY2022 to FY2025).
- In prior years, PS International's Cash & Equivalents was $8.16 million in FY2024 (-37.1%), $12.98 million in FY2023 (+72.8%) and $7.51 million in FY2022.
- The Q4 2025 figure stands as the highest quarterly Cash & Equivalents since Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 177.43 Bn | 171.95 Bn | - | 1.61 Bn |
| 2 | Csx | 95.92 Bn | 91.14 Bn | - | 1.22 Bn |
| 3 | United Parcel Service | 85.95 Bn | 62.85 Bn | - | 4.65 Bn |
| 4 | Canadian Pacific Kansas City | 80.52 Bn | 79.54 Bn | - | 257.58 Mn |
| 5 | Norfolk Southern | 75.79 Bn | 70.43 Bn | - | 1.07 Bn |
| 6 | Fedex | 71.86 Bn | 37.80 Bn | - | 13.31 Bn |
| 7 | Delta Air Lines | 51.80 Bn | 33.98 Bn | - | 3.79 Bn |
| 8 | Old Dominion Freight Line | 39.47 Bn | 38.73 Bn | - | 283.94 Mn |
| 9 | United Airlines Holdings | 33.07 Bn | -24.62 Bn | - | 6.65 Bn |
| 10 | PS International | 17.78 Mn | -19.88 Mn | - | 8.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 8.94 Mn |
| Jun 30, 2025 | 6.99 Mn |
| Dec 31, 2024 | 8.16 Mn |
| Jun 30, 2024 | 8.59 Mn |
| Dec 31, 2023 | 10.77 Mn |
| Dec 31, 2022 | 7.39 Mn |
API Access
PS International 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=PSIG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "PSIG", "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=PSIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();