PMA Graphene Technology (PMA) Total Debt (2023 - 2026)
PMA Graphene Technology's Total Debt came in at $7.08 million for the quarter ended Mar 31, 2026, down 7.2% from $7.63 million a year earlier.
PMA Graphene Technology (PMA) Total Debt (2023 - 2026) Analysis & Trends
Going back to the quarter ended Mar 31, 2023, PMA Graphene Technology's Total Debt data covers 6 quarters.
- Total Debt carries a three-year compound annual growth rate of 10.0% (years ended Mar 2023 to Mar 2026).
- Going back by year, Total Debt was $7.63 million in the year ended Mar 31, 2025 (unchanged), $7.63 million in the year ended Mar 31, 2024 (+43.3%) and $5.32 million in the year ended Mar 31, 2023.
- The figure for the quarter ended Mar 31, 2026 represents the lowest quarterly Total Debt since the quarter ended Mar 31, 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.40 Bn | 87.48 Bn | 1.55 Bn | 6.10 Bn |
| 2 | Ferrovial | 35.35 Bn | 13.60 Bn | - | 12.25 Bn |
| 3 | Emcor | 31.07 Bn | 27.46 Bn | 1.02 Bn | - |
| 4 | Jacobs Solutions | 16.40 Bn | 11.06 Bn | 810.70 Mn | 3.58 Bn |
| 5 | Mastec | 14.65 Bn | 13.43 Bn | 556.28 Mn | 2.74 Bn |
| 6 | Sterling Infrastructure | 12.61 Bn | 10.93 Bn | 289.96 Mn | 283.88 Mn |
| 7 | IES Holdings | 9.68 Bn | 8.54 Bn | 340.66 Mn | - |
| 8 | Stantec | 7.88 Bn | 6.81 Bn | 1.36 Bn | 225.84 Mn |
| 9 | Aecom | 7.57 Bn | 2.69 Bn | -34.04 Mn | 2.75 Bn |
| 10 | PMA Graphene Technology | 16.61 Mn | 12.86 Mn | - | 7.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 7.08 Mn |
| Sep 30, 2025 | 7.33 Mn |
| Mar 31, 2025 | 7.63 Mn |
| Sep 30, 2024 | 7.94 Mn |
| Mar 31, 2024 | 6.85 Mn |
| Mar 31, 2023 | 3.82 Mn |
PMA Graphene Technology Total Debt 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=total-debt&ticker=PMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=PMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();