Primoris Services (PRIM) Cost of Revenue (2010 - 2026)
Primoris Services' Cost of Revenue came in at $1.61 billion for Q2 2026, down 3.2% from $1.66 billion a year earlier but up 12.7% from the prior quarter.
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Analysis
Primoris Services (PRIM) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Primoris Services reported Cost of Revenue of $6.66 billion, up 8.3% year-over-year; for FY2025, it came in at $6.76 billion, up 19.4% from FY2024.
- Cost of Revenue has increased in each of the last four years, with a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $5.66 billion in FY2024 (+10.4%), $5.13 billion in FY2023 (+29.4%), $3.96 billion in FY2022 (+28.7%) and $3.08 billion in FY2021 (-1.3%).
- The five-year range for quarterly Cost of Revenue is $727.9 million (Q1 2022) to $1.94 billion (Q3 2025).
- Year-over-year, Cost of Revenue increased in six of the last eight quarters, with growth averaging 11.6%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q1 2023 (growth of 59.0%), and the weakest in Q3 2021 (a decline of 4.1%).
- Business Quant data shows PRIM's Cost of Revenue at $1.43 billion (Q1 2026), $1.68 billion (Q4 2025) and $1.94 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.10 Bn | 80.29 Bn | 1.55 Bn | 8.01 Bn |
| 2 | Ferrovial | 35.78 Bn | 16.09 Bn | - | - |
| 3 | Emcor | 28.64 Bn | 25.04 Bn | 1.02 Bn | 4.13 Bn |
| 4 | Jacobs Solutions | 16.99 Bn | 11.64 Bn | 810.70 Mn | 3.27 Bn |
| 5 | Mastec | 13.74 Bn | 12.65 Bn | 556.28 Mn | 3.82 Bn |
| 6 | Sterling Infrastructure | 10.90 Bn | 9.26 Bn | 289.96 Mn | 878.22 Mn |
| 7 | IES Holdings | 8.51 Bn | 7.37 Bn | 340.66 Mn | 902.04 Mn |
| 8 | Stantec | 8.11 Bn | 7.04 Bn | 1.36 Bn | 1.15 Bn |
| 9 | Aecom | 7.78 Bn | 3.11 Bn | -34.04 Mn | 3.62 Bn |
| 10 | Primoris Services | 3.50 Bn | 1.95 Bn | 82.40 Mn | 1.61 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.61 Bn |
| Mar 31, 2026 | 1.43 Bn |
| Dec 31, 2025 | 1.68 Bn |
| Sep 30, 2025 | 1.94 Bn |
| Jun 30, 2025 | 1.66 Bn |
| Mar 31, 2025 | 1.48 Bn |
| Dec 31, 2024 | 1.56 Bn |
| Sep 30, 2024 | 1.45 Bn |
| Jun 30, 2024 | 1.38 Bn |
| Mar 31, 2024 | 1.28 Bn |
| Dec 31, 2023 | 1.36 Bn |
| Sep 30, 2023 | 1.36 Bn |
| Jun 30, 2023 | 1.26 Bn |
| Mar 31, 2023 | 1.16 Bn |
| Dec 31, 2022 | 1.18 Bn |
| Sep 30, 2022 | 1.13 Bn |
| Jun 30, 2022 | 930.84 Mn |
| Mar 31, 2022 | 727.90 Mn |
| Dec 31, 2021 | 788.43 Mn |
| Sep 30, 2021 | 785.81 Mn |
API Access
Primoris Services Cost of Revenue 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=cost-of-revenue&ticker=PRIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PRIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();