Jacobs Solutions (J) Cost of Revenue (2009 - 2026)
Jacobs Solutions' Cost of Revenue came in at $3.27 billion for fiscal Q3 2026 (quarter ended Jun 26, 2026), up 43.7% from $2.27 billion a year earlier and up 12.6% from the prior quarter.
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Analysis
Jacobs Solutions (J) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 26, 2026, Jacobs Solutions reported Cost of Revenue of $11.08 billion, up 24.8% year-over-year; for FY2025 (ended Sep 26, 2025), it came in at $9.04 billion, up 4.3% from FY2024.
- Cost of Revenue has increased in each of the last three fiscal years, though with a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- Going back by fiscal year, Cost of Revenue was $8.67 billion in FY2024 (+6.5%), $8.14 billion in FY2023 (+13.0%), $7.2 billion in FY2022 (-34.8%) and $11.05 billion in FY2021 (+0.6%).
- The fiscal Q3 2026 figure represents the highest quarterly Cost of Revenue since fiscal Q3 2023.
- Year-over-year, Cost of Revenue has increased for seven consecutive quarters, with growth averaging 15.5% over the last seven quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q3 2026 (growth of 43.7%), and the weakest in fiscal Q3 2024 (a decline of 35.1%).
- Business Quant data shows J's Cost of Revenue at $2.9 billion (Q2 2026), $2.53 billion (Q1 2026) and $2.39 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 8.01 Bn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 4.13 Bn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 3.82 Bn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 878.22 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 3.27 Bn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 902.04 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | - |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | 3.62 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 3.27 Bn |
| Mar 27, 2026 | 2.90 Bn |
| Dec 26, 2025 | 2.53 Bn |
| Sep 26, 2025 | 2.39 Bn |
| Jun 27, 2025 | 2.27 Bn |
| Mar 28, 2025 | 2.17 Bn |
| Dec 27, 2024 | 2.21 Bn |
| Sep 27, 2024 | 2.23 Bn |
| Jun 28, 2024 | 2.16 Bn |
| Mar 29, 2024 | 2.14 Bn |
| Dec 29, 2023 | 2.15 Bn |
| Sep 29, 2023 | -1.36 Bn |
| Jun 30, 2023 | 3.33 Bn |
| Mar 31, 2023 | 3.19 Bn |
| Dec 30, 2022 | 2.98 Bn |
| Sep 30, 2022 | -1.35 Bn |
| Jul 1, 2022 | 3.00 Bn |
| Apr 1, 2022 | 2.96 Bn |
| Dec 31, 2021 | 2.58 Bn |
| Oct 1, 2021 | 2.76 Bn |
API Access
Jacobs Solutions 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=J&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "J", "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=J&period=max&api_key=YOUR_API_KEY");
const data = await res.json();