Jacobs Solutions (J) Cash & Equivalents (2009 - 2026)
Jacobs Solutions (J) posted Cash & Equivalents of $1.17 billion for fiscal Q3 2026 (quarter ended Jun 26, 2026), down 9.3% from $1.29 billion a year earlier and down 14.5% from the prior quarter.
Jacobs Solutions (J) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 26, 2025), Jacobs Solutions' Cash & Equivalents came in at $1.24 billion, up 7.9% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- In prior fiscal years, Jacobs Solutions' Cash & Equivalents was $1.14 billion in FY2024 (+48.5%), $770.85 million in FY2023 (-32.4%), $1.14 billion in FY2022 (+12.4%) and $1.01 billion in FY2021 (+17.6%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Cash & Equivalents since fiscal Q4 2024.
- On a year-over-year basis, Cash & Equivalents increased in seven of the last eight quarters, with growth averaging 14.7%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q1 2022, with growth of 48.7%; the weakest was fiscal Q4 2023, with a decline of 32.4%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $1.37 billion (Q2 2026), $1.55 billion (Q1 2026) and $1.24 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 506.43 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | 4.97 Bn |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 924.41 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 315.64 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 464.45 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 1.17 Bn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 77.28 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | 709.17 Mn |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 272.76 Mn |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | 1.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 1.17 Bn |
| Mar 27, 2026 | 1.37 Bn |
| Dec 26, 2025 | 1.55 Bn |
| Sep 26, 2025 | 1.24 Bn |
| Jun 27, 2025 | 1.29 Bn |
| Mar 28, 2025 | 1.20 Bn |
| Dec 27, 2024 | 1.30 Bn |
| Sep 27, 2024 | 1.14 Bn |
| Jun 28, 2024 | 1.21 Bn |
| Mar 29, 2024 | 1.03 Bn |
| Dec 29, 2023 | 1.14 Bn |
| Sep 29, 2023 | 770.85 Mn |
| Jun 30, 2023 | 1.09 Bn |
| Mar 31, 2023 | 1.22 Bn |
| Dec 30, 2022 | 1.21 Bn |
| Sep 30, 2022 | 1.14 Bn |
| Jul 1, 2022 | 1.10 Bn |
| Apr 1, 2022 | 1.24 Bn |
| Dec 31, 2021 | 1.25 Bn |
| Oct 1, 2021 | 1.01 Bn |
Jacobs Solutions Cash & Equivalents 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=cash-and-equivalents&ticker=J&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=J&period=max&api_key=YOUR_API_KEY");
const data = await res.json();