Jacobs Solutions (J) Price to Earnings (2009 - 2026)
Jacobs Solutions' (J) Price to Earnings was 43.50 for fiscal Q3 2026 (quarter ended Jun 26, 2026), up 37.6% from 31.61 a year earlier and up 11.5% from the prior quarter.
Jacobs Solutions (J) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2025 (ended Sep 26, 2025), Price to Earnings at Jacobs Solutions was 60.85, up 206.9% from FY2024.
- By fiscal year, Price to Earnings came in at 19.83 in FY2024 (-7.2%), 21.36 in FY2023 (+20.4%), 17.75 in FY2022 (-41.0%) and 30.09 in FY2021 (+46.4%).
- Five-year quarterly Price to Earnings spans a low of 15.94 in fiscal Q2 2023 and a high of 60.85 in fiscal Q4 2025.
- Year over year, Price to Earnings has now increased in each of the last seven quarters, with growth averaging 50.6% over the last eight quarters.
- The high point for year-over-year Price to Earnings in five years was fiscal Q4 2025 (growth of 206.9%); the low point was fiscal Q2 2023 (a decline of 53.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 39.00 (Q2 2026), 36.74 (Q1 2026) and 60.85 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 99.60 Bn | 97.78 Bn | 1.55 Bn |
| 2 | Ferrovial | 38.15 Bn | 18.74 Bn | - |
| 3 | Emcor | 34.02 Bn | 30.41 Bn | 1.02 Bn |
| 4 | Mastec | 17.16 Bn | 16.07 Bn | 556.28 Mn |
| 5 | Jacobs Solutions | 16.37 Bn | 11.02 Bn | 810.70 Mn |
| 6 | Sterling Infrastructure | 15.50 Bn | 13.86 Bn | 289.96 Mn |
| 7 | IES Holdings | 13.16 Bn | 12.02 Bn | 340.66 Mn |
| 8 | Dycom Industries | 8.09 Bn | 7.23 Bn | - |
| 9 | Aecom | 7.67 Bn | 3.00 Bn | -34.04 Mn |
| 10 | Stantec | 7.66 Bn | 7.66 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 43.50 |
| Mar 27, 2026 | 39.00 |
| Dec 26, 2025 | 36.74 |
| Sep 26, 2025 | 60.85 |
| Jun 27, 2025 | 31.61 |
| Mar 28, 2025 | 31.42 |
| Dec 27, 2024 | 26.67 |
| Sep 27, 2024 | 19.83 |
| Jun 28, 2024 | 22.79 |
| Mar 29, 2024 | 24.60 |
| Dec 29, 2023 | 19.22 |
| Sep 29, 2023 | 21.36 |
| Jun 30, 2023 | 16.69 |
| Mar 31, 2023 | 15.94 |
| Dec 30, 2022 | 19.49 |
| Sep 30, 2022 | 17.75 |
| Jul 1, 2022 | 28.87 |
| Apr 1, 2022 | 34.46 |
| Dec 31, 2021 | 42.01 |
| Oct 1, 2021 | 30.09 |
Jacobs Solutions Price to Earnings 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=price-to-earnings&ticker=J&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=J&period=max&api_key=YOUR_API_KEY");
const data = await res.json();