Jacobs Solutions (J) Accumulated Expenses (2009 - 2026)
Jacobs Solutions (J) recorded Accumulated Expenses of $1.04 billion in fiscal Q3 2026 (quarter ended Jun 26, 2026), up 6.4% from $977.69 million a year earlier but down 6.0% from the prior quarter.
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Analysis
Jacobs Solutions (J) Accumulated Expenses (2009 - 2026) Analysis & Trends
Starting with fiscal Q3 2009, Jacobs Solutions' Accumulated Expenses history includes 69 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- Across earlier fiscal years, Accumulated Expenses came in at $1.09 billion in FY2024 (+11.5%), $975.19 million in FY2023 (-32.4%), $1.44 billion in FY2022 (-6.0%) and $1.53 billion in FY2021 (+22.7%).
- Quarterly Accumulated Expenses has ranged from $910.79 million in fiscal Q2 2025 to $1.96 billion in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for three consecutive quarters, with an average decline of 4.7% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 24.5% in fiscal Q1 2022, against a decline of 32.7% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.11 billion (Q2 2026), $1.04 billion (Q1 2026) and $1.04 billion (Q4 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 1.04 Bn |
| Mar 27, 2026 | 1.11 Bn |
| Dec 26, 2025 | 1.04 Bn |
| Sep 26, 2025 | 1.04 Bn |
| Jun 27, 2025 | 977.69 Mn |
| Mar 28, 2025 | 910.79 Mn |
| Dec 27, 2024 | 1.01 Bn |
| Sep 27, 2024 | 1.09 Bn |
| Jun 28, 2024 | 1.30 Bn |
| Mar 29, 2024 | 1.20 Bn |
| Dec 29, 2023 | 1.38 Bn |
| Sep 29, 2023 | 975.19 Mn |
| Jun 30, 2023 | 1.24 Bn |
| Mar 31, 2023 | 1.32 Bn |
| Dec 30, 2022 | 1.37 Bn |
| Sep 30, 2022 | 1.44 Bn |
| Jul 1, 2022 | 1.37 Bn |
| Apr 1, 2022 | 1.96 Bn |
| Dec 31, 2021 | 1.49 Bn |
| Oct 1, 2021 | 1.53 Bn |
API Access
Jacobs Solutions Accumulated Expenses 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=accumulated-expenses&ticker=J&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=J&period=max&api_key=YOUR_API_KEY");
const data = await res.json();