Jacobs Solutions (J) Revenue (2009 - 2026)
Jacobs Solutions (J) recorded Revenue of $4.08 billion in fiscal Q3 2026 (quarter ended Jun 26, 2026), up 34.5% from $3.03 billion a year earlier and up 10.3% from the prior quarter.
Jacobs Solutions (J) Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Jacobs Solutions' Revenue came in at $14.22 billion as of Jun 26, 2026, up 20.1% year-over-year; for FY2025 (ended Sep 26, 2025), it came in at $12.03 billion, up 4.6% from FY2024.
- Annual Revenue has increased for three straight fiscal years, though with a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- Across earlier fiscal years, Revenue came in at $11.5 billion in FY2024 (+6.0%), $10.85 billion in FY2023 (+10.9%), $9.78 billion in FY2022 (-30.6%) and $14.09 billion in FY2021 (+3.9%).
- The fiscal Q3 2026 figure is the highest quarterly Revenue in data going back to fiscal Q1 2009.
- On a year-over-year basis, Revenue has increased for 11 consecutive quarters, with growth averaging 12.1% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 34.5% in fiscal Q3 2026, against a decline of 30.2% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.69 billion (Q2 2026), $3.29 billion (Q1 2026) and $3.15 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 9.56 Bn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 5.15 Bn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 4.37 Bn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 1.17 Bn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 4.08 Bn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 1.24 Bn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 2.51 Bn |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | 3.59 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 4.08 Bn |
| Mar 27, 2026 | 3.69 Bn |
| Dec 26, 2025 | 3.29 Bn |
| Sep 26, 2025 | 3.15 Bn |
| Jun 27, 2025 | 3.03 Bn |
| Mar 28, 2025 | 2.91 Bn |
| Dec 27, 2024 | 2.93 Bn |
| Sep 27, 2024 | 2.96 Bn |
| Jun 28, 2024 | 2.88 Bn |
| Mar 29, 2024 | 2.85 Bn |
| Dec 29, 2023 | 2.81 Bn |
| Sep 29, 2023 | 2.83 Bn |
| Jun 30, 2023 | 2.79 Bn |
| Mar 31, 2023 | 2.68 Bn |
| Dec 30, 2022 | 2.55 Bn |
| Sep 30, 2022 | -1.26 Bn |
| Jul 1, 2022 | 3.83 Bn |
| Apr 1, 2022 | 3.83 Bn |
| Dec 31, 2021 | 3.38 Bn |
| Oct 1, 2021 | 3.59 Bn |
Jacobs Solutions 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=revenue&ticker=J&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=J&period=max&api_key=YOUR_API_KEY");
const data = await res.json();