Jacobs Solutions (J) Operating Leases (2020 - 2026)
Jacobs Solutions (J) posted Operating Leases of $360.59 million for fiscal Q3 2026 (quarter ended Jun 26, 2026), down 6.5% from $385.58 million a year earlier but up 2.0% from the prior quarter.
Jacobs Solutions (J) Operating Leases (2020 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 26, 2025), Jacobs Solutions' Operating Leases came in at $362.36 million, down 11.1% from FY2024.
- Annual Operating Leases has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -13.2% (FY2020 to FY2025).
- In prior fiscal years, Jacobs Solutions' Operating Leases was $407.83 million in FY2024 (-12.5%), $466.11 million in FY2023 (-23.3%), $607.45 million in FY2022 (-19.9%) and $758.36 million in FY2021 (+3.1%).
- Quarterly Operating Leases has run from a low of $353.44 million in fiscal Q2 2026 to a high of $758.36 million in fiscal Q4 2021 over five years.
- On a year-over-year basis, Operating Leases has declined in each of the last 19 quarters, with an average decline of 14.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q4 2021, with growth of 3.1%; the weakest was fiscal Q1 2025, with a decline of 26.5%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $353.44 million (Q2 2026), $361.91 million (Q1 2026) and $362.36 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 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 |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 360.59 Mn |
| Mar 27, 2026 | 353.44 Mn |
| Dec 26, 2025 | 361.91 Mn |
| Sep 26, 2025 | 362.36 Mn |
| Jun 27, 2025 | 385.58 Mn |
| Mar 28, 2025 | 371.59 Mn |
| Dec 27, 2024 | 383.97 Mn |
| Sep 27, 2024 | 407.83 Mn |
| Jun 28, 2024 | 482.26 Mn |
| Mar 29, 2024 | 501.12 Mn |
| Dec 29, 2023 | 522.67 Mn |
| Sep 29, 2023 | 466.11 Mn |
| Jun 30, 2023 | 570.32 Mn |
| Mar 31, 2023 | 586.81 Mn |
| Dec 30, 2022 | 607.67 Mn |
| Sep 30, 2022 | 607.45 Mn |
| Jul 1, 2022 | 651.26 Mn |
| Apr 1, 2022 | 688.60 Mn |
| Dec 31, 2021 | 706.29 Mn |
| Oct 1, 2021 | 758.36 Mn |
Jacobs Solutions Operating Leases 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=operating-leases&ticker=J&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=J&period=max&api_key=YOUR_API_KEY");
const data = await res.json();