PMA Graphene Technology (PMA) Non-Current Assets (2023 - 2026)
PMA Graphene Technology's Non-Current Assets came in at $111.64 million for the quarter ended Mar 31, 2026, compared with $3.16 million a year earlier.
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Analysis
PMA Graphene Technology (PMA) Non-Current Assets (2023 - 2026) Analysis & Trends
Going back to the quarter ended Mar 31, 2023, PMA Graphene Technology's Non-Current Assets data covers 6 quarters.
- Non-Current Assets carries a three-year compound annual growth rate of 333.8% (years ended Mar 2023 to Mar 2026).
- Going back by year, Non-Current Assets was $3.16 million in the year ended Mar 31, 2025 (unchanged), $3.16 million in the year ended Mar 31, 2024 (+131.4%) and $1.37 million in the year ended Mar 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.81 Bn | 87.89 Bn | 1.55 Bn | 16.43 Bn |
| 2 | Ferrovial | 35.40 Bn | 13.65 Bn | - | 23.62 Bn |
| 3 | Emcor | 31.21 Bn | 27.60 Bn | 1.02 Bn | 3.49 Bn |
| 4 | Jacobs Solutions | 16.43 Bn | 11.10 Bn | 810.70 Mn | 6.65 Bn |
| 5 | Mastec | 14.65 Bn | 13.43 Bn | 556.28 Mn | 5.99 Bn |
| 6 | Sterling Infrastructure | 12.67 Bn | 10.99 Bn | 289.96 Mn | 1.77 Bn |
| 7 | IES Holdings | 9.64 Bn | 8.50 Bn | 340.66 Mn | 741.12 Mn |
| 8 | Stantec | 7.86 Bn | 6.79 Bn | 1.36 Bn | 3.64 Bn |
| 9 | Aecom | 7.59 Bn | 2.71 Bn | -34.04 Mn | 5.68 Bn |
| 10 | PMA Graphene Technology | 17.26 Mn | 13.51 Mn | - | 1.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.64 Mn |
| Sep 30, 2025 | 3.74 Mn |
| Mar 31, 2025 | 3.16 Mn |
| Sep 30, 2024 | 3.11 Mn |
| Mar 31, 2024 | 3.05 Mn |
| Mar 31, 2023 | 1.37 Mn |
API Access
PMA Graphene Technology Non-Current Assets 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=non-current-assets&ticker=PMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "PMA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-assets&ticker=PMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();