Jacobs Solutions (J) EBITDA (2009 - 2026)
Jacobs Solutions (J) posted EBITDA of $343.89 million for fiscal Q3 2026 (quarter ended Jun 26, 2026), up 16.4% from $295.34 million a year earlier.
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Analysis
Jacobs Solutions (J) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 26, 2026, EBITDA at Jacobs Solutions was $882.3 million, down 19.1% year-over-year; for FY2025 (ended Sep 26, 2025), it came in at $1.1 billion, up 16.6% from FY2024.
- Annual EBITDA has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- In prior fiscal years, Jacobs Solutions' EBITDA was $944.34 million in FY2024 (+1.9%), $927.06 million in FY2023 (+10.2%), $840.94 million in FY2022 (-10.4%) and $938.89 million in FY2021 (+30.8%).
- The fiscal Q3 2026 figure stands as the highest quarterly EBITDA in data going back to fiscal Q1 2009.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q4 2021, with growth of 363.3%; the weakest was fiscal Q4 2022, with a decline of 97.9%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was -$24.91 million (Q2 2026), $292.17 million (Q1 2026) and $271.15 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 968.93 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 601.60 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 349.82 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 244.24 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 343.89 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 195.50 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 355.32 Mn |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | -20.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 343.89 Mn |
| Mar 27, 2026 | -24.91 Mn |
| Dec 26, 2025 | 292.17 Mn |
| Sep 26, 2025 | 271.15 Mn |
| Jun 27, 2025 | 295.34 Mn |
| Mar 28, 2025 | 266.73 Mn |
| Dec 27, 2024 | 268.00 Mn |
| Sep 27, 2024 | 260.22 Mn |
| Jun 28, 2024 | 233.75 Mn |
| Mar 29, 2024 | 246.27 Mn |
| Dec 29, 2023 | 218.29 Mn |
| Sep 29, 2023 | 189.83 Mn |
| Jun 30, 2023 | 240.86 Mn |
| Mar 31, 2023 | 264.03 Mn |
| Dec 30, 2022 | 232.34 Mn |
| Sep 30, 2022 | 6.82 Mn |
| Jul 1, 2022 | 342.61 Mn |
| Apr 1, 2022 | 241.03 Mn |
| Dec 31, 2021 | 250.48 Mn |
| Oct 1, 2021 | 324.53 Mn |
API Access
Jacobs Solutions EBITDA 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=ebitda&ticker=J&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=J&period=max&api_key=YOUR_API_KEY");
const data = await res.json();