Jacobs Solutions (J) EBITDA Margin (2009 - 2026)
Jacobs Solutions' EBITDA Margin was 8.44% in fiscal Q3 2026 (quarter ended Jun 26, 2026), down 1.31 percentage points from 9.74% a year earlier but up 9.11 percentage points from the prior quarter.
Jacobs Solutions (J) EBITDA Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jacobs Solutions' EBITDA Margin was 6.21% through Jun 26, 2026, down 3.01 percentage points year-over-year; for FY2025 (ended Sep 26, 2025), it was 9.15%, up 0.94 percentage points from FY2024.
- EBITDA Margin shows a five-year change of +3.86 percentage points (FY2020 to FY2025).
- In earlier fiscal years, EBITDA Margin was 8.21% in FY2024 (-0.33 pp), 8.54% in FY2023 (-0.05 pp), 8.60% in FY2022 (+1.93 pp) and 6.66% in FY2021 (+1.37 pp).
- Quarterly EBITDA Margin has moved between -0.67% (fiscal Q2 2026) and 9.86% (fiscal Q2 2023) over five years.
- Compared with a year earlier, EBITDA Margin has declined for four straight quarters, with an average year-over-year change of -0.75 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was fiscal Q4 2021 (a gain of 7.06 percentage points); the worst was fiscal Q2 2026 (a drop of 9.84 percentage points).
- Per Business Quant data, J's EBITDA Margin in the three fiscal quarters before Q3 2026 was -0.67% (Q2 2026), 8.87% (Q1 2026) and 8.60% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 10.14% |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 11.67% |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 8.00% |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 20.91% |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 8.44% |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 15.73% |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 14.14% |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | -0.56% |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 8.44% |
| Mar 27, 2026 | -0.67% |
| Dec 26, 2025 | 8.87% |
| Sep 26, 2025 | 8.60% |
| Jun 27, 2025 | 9.74% |
| Mar 28, 2025 | 9.16% |
| Dec 27, 2024 | 9.14% |
| Sep 27, 2024 | 8.79% |
| Jun 28, 2024 | 8.11% |
| Mar 29, 2024 | 8.65% |
| Dec 29, 2023 | 7.77% |
| Sep 29, 2023 | 6.70% |
| Jun 30, 2023 | 8.63% |
| Mar 31, 2023 | 9.86% |
| Dec 30, 2022 | 9.12% |
| Jul 1, 2022 | 8.95% |
| Apr 1, 2022 | 6.29% |
| Dec 31, 2021 | 7.41% |
| Oct 1, 2021 | 9.05% |
| Jul 2, 2021 | 9.50% |
Jacobs Solutions EBITDA Margin 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-margin&ticker=J&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=J&period=max&api_key=YOUR_API_KEY");
const data = await res.json();