Primech Holdings (PMEC) Cash & Equivalents (2023 - 2026)
Primech Holdings' Cash & Equivalents came in at $8.92 million for the quarter ended Mar 31, 2026, down 12.1% from $10.15 million a year earlier.
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Analysis
Primech Holdings (PMEC) Cash & Equivalents (2023 - 2026) Analysis & Trends
Going back to the quarter ended Mar 31, 2023, Primech Holdings' Cash & Equivalents data covers 7 quarters.
- Cash & Equivalents carries a three-year compound annual growth rate of -0.6% (years ended Mar 2023 to Mar 2026).
- Going back by year, Cash & Equivalents was $10.15 million in the year ended Mar 31, 2025 (+32.6%), $7.65 million in the year ended Mar 31, 2024 (-15.7%) and $9.07 million in the year ended Mar 31, 2023.
- The five-year range for quarterly Cash & Equivalents is $5.7 million (the quarter ended Sep 30, 2025) to $10.15 million (the quarter ended Mar 31, 2025).
- Year-over-year, Cash & Equivalents increased in two of the last four quarters, with an average decline of 2.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 156.49 Bn | 114.42 Bn | 5.98 Bn | 12.83 Bn |
| 2 | Cintas | 89.36 Bn | 88.45 Bn | 1.55 Bn | 243.60 Mn |
| 3 | Iron Mountain | 33.13 Bn | 32.33 Bn | 1.06 Bn | 188.16 Mn |
| 4 | Rollins | 18.53 Bn | 18.08 Bn | 582.90 Mn | 129.05 Mn |
| 5 | APi | 18.33 Bn | 15.55 Bn | 770.00 Mn | 373.00 Mn |
| 6 | UL Solutions | 16.46 Bn | 14.45 Bn | 423.00 Mn | 1.02 Bn |
| 7 | Aramark | 14.43 Bn | 12.37 Bn | 430.34 Mn | 499.43 Mn |
| 8 | Gartner | 12.19 Bn | 5.67 Bn | 1.07 Bn | 1.63 Bn |
| 9 | Rentokil Initial | 12.05 Bn | 5.56 Bn | - | 2.47 Bn |
| 10 | Primech Holdings | 12.68 Mn | -21.27 Mn | - | 8.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 8.92 Mn |
| Sep 30, 2025 | 5.70 Mn |
| Mar 31, 2025 | 10.15 Mn |
| Sep 30, 2024 | 9.18 Mn |
| Mar 31, 2024 | 7.65 Mn |
| Sep 30, 2023 | 8.68 Mn |
| Mar 31, 2023 | 9.07 Mn |
API Access
Primech Holdings 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=PMEC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "PMEC", "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=PMEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();