Jacobs Solutions (J) Capital Expenditures (2009 - 2026)
Jacobs Solutions' Capital Expenditures was $25.13 million in fiscal Q3 2026 (quarter ended Jun 26, 2026), up 13.9% from $22.05 million a year earlier and up 20.9% from the prior quarter.
Jacobs Solutions (J) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jacobs Solutions' Capital Expenditures was $91.3 million through Jun 26, 2026, up 3.8% year-over-year; for FY2025 (ended Sep 26, 2025), it was $79.23 million, down 34.6% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of -7.7% (FY2020 to FY2025).
- In earlier fiscal years, Capital Expenditures was $121.11 million in FY2024 (-11.9%), $137.49 million in FY2023 (+7.7%), $127.62 million in FY2022 (+37.5%) and $92.81 million in FY2021 (-21.5%).
- Quarterly Capital Expenditures has moved between $10.33 million (fiscal Q1 2025) and $47.56 million (fiscal Q4 2022) over five years.
- Compared with a year earlier, Capital Expenditures has increased for three straight quarters, with an average decline of 7.2% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was fiscal Q4 2022 (growth of 75.2%); the worst was fiscal Q1 2024 (a decline of 46.2%).
- Per Business Quant data, J's Capital Expenditures in the three fiscal quarters before Q3 2026 was $20.78 million (Q2 2026), $15.82 million (Q1 2026) and $29.58 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 230.96 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 31.15 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 91.51 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 50.02 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 25.13 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 44.64 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | -30.00 Mn |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | 40.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 25.13 Mn |
| Mar 27, 2026 | 20.78 Mn |
| Dec 26, 2025 | 15.82 Mn |
| Sep 26, 2025 | 29.58 Mn |
| Jun 27, 2025 | 22.05 Mn |
| Mar 28, 2025 | 17.27 Mn |
| Dec 27, 2024 | 10.33 Mn |
| Sep 27, 2024 | 38.34 Mn |
| Jun 28, 2024 | 37.66 Mn |
| Mar 29, 2024 | 27.80 Mn |
| Dec 29, 2023 | 17.31 Mn |
| Sep 29, 2023 | 39.25 Mn |
| Jun 30, 2023 | 30.85 Mn |
| Mar 31, 2023 | 35.20 Mn |
| Dec 30, 2022 | 32.19 Mn |
| Sep 30, 2022 | 47.56 Mn |
| Jul 1, 2022 | 31.83 Mn |
| Apr 1, 2022 | 28.91 Mn |
| Dec 31, 2021 | 19.32 Mn |
| Oct 1, 2021 | 27.14 Mn |
Jacobs Solutions Capital Expenditures 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=capital-expenditures&ticker=J&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=J&period=max&api_key=YOUR_API_KEY");
const data = await res.json();