Primoris Services (PRIM) Total Non-Current Liabilities (2010 - 2026)
Primoris Services (PRIM) reported Total Non-Current Liabilities of $2.95 billion for Q2 2026, up 0.4% from $2.94 billion a year earlier and up 20.4% from the prior quarter.
Primoris Services (PRIM) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Primoris Services posted Total Non-Current Liabilities of $2.65 billion, down 2.7% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $2.73 billion in FY2024 (+7.3%), $2.54 billion in FY2023 (+6.4%), $2.39 billion in FY2022 (+60.5%) and $1.49 billion in FY2021 (+25.8%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $1.49 billion in Q4 2021 and a high of $2.96 billion in Q3 2025.
- Year over year, Total Non-Current Liabilities gained in six of the last eight quarters, with growth averaging 2.7%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2022 (growth of 60.5%); the low point was Q1 2026 (a decline of 9.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.45 billion (Q1 2026), $2.65 billion (Q4 2025) and $2.96 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.81 Bn | 87.89 Bn | 1.55 Bn | 17.11 Bn |
| 2 | Ferrovial | 35.40 Bn | 13.65 Bn | - | 15.61 Bn |
| 3 | Emcor | 31.21 Bn | 27.60 Bn | 1.02 Bn | 5.66 Bn |
| 4 | Jacobs Solutions | 16.43 Bn | 11.10 Bn | 810.70 Mn | 4.54 Bn |
| 5 | Mastec | 14.65 Bn | 13.43 Bn | 556.28 Mn | 6.93 Bn |
| 6 | Sterling Infrastructure | 12.67 Bn | 10.99 Bn | 289.96 Mn | 1.73 Bn |
| 7 | IES Holdings | 9.64 Bn | 8.50 Bn | 340.66 Mn | 1.02 Bn |
| 8 | Stantec | 7.86 Bn | 6.79 Bn | 1.36 Bn | 3.35 Bn |
| 9 | Aecom | 7.59 Bn | 2.71 Bn | -34.04 Mn | 9.33 Bn |
| 10 | Primoris Services | 3.90 Bn | 2.35 Bn | 82.40 Mn | 2.95 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.95 Bn |
| Mar 31, 2026 | 2.45 Bn |
| Dec 31, 2025 | 2.65 Bn |
| Sep 30, 2025 | 2.96 Bn |
| Jun 30, 2025 | 2.94 Bn |
| Mar 31, 2025 | 2.71 Bn |
| Dec 31, 2024 | 2.73 Bn |
| Sep 30, 2024 | 2.83 Bn |
| Jun 30, 2024 | 2.70 Bn |
| Mar 31, 2024 | 2.66 Bn |
| Dec 31, 2023 | 2.54 Bn |
| Sep 30, 2023 | 2.56 Bn |
| Jun 30, 2023 | 2.53 Bn |
| Mar 31, 2023 | 2.37 Bn |
| Dec 31, 2022 | 2.39 Bn |
| Sep 30, 2022 | 2.35 Bn |
| Jun 30, 2022 | 1.65 Bn |
| Mar 31, 2022 | 1.57 Bn |
| Dec 31, 2021 | 1.49 Bn |
| Sep 30, 2021 | 1.55 Bn |
Primoris Services Total Non-Current Liabilities 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-non-current-liabilities&ticker=PRIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PRIM", "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-non-current-liabilities&ticker=PRIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();