Jacobs Solutions (J) Return on Sales [ROS] (2009 - 2026)
Jacobs Solutions (J) recorded Return on Sales [ROS] of 7.03% in fiscal Q3 2026 (quarter ended Jun 26, 2026), down 0.72 percentage points from 7.75% a year earlier but up 9.23 percentage points from the prior quarter.
Jacobs Solutions (J) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Jacobs Solutions' Return on Sales [ROS] came in at 4.57% as of Jun 26, 2026, down 2.60 percentage points year-over-year; for FY2025 (ended Sep 26, 2025), it came in at 7.18%, up 1.16 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +3.23 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] came in at 6.02% in FY2024 (-0.21 pp), 6.23% in FY2023 (+0.72 pp), 5.52% in FY2022 (+0.64 pp) and 4.88% in FY2021 (+0.93 pp).
- Quarterly Return on Sales [ROS] has ranged from -2.20% in fiscal Q2 2026 to 7.75% in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of -0.59 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 6.37 percentage points in fiscal Q4 2021, against a drop of 9.37 percentage points in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -2.20% (Q2 2026), 7.06% (Q1 2026) and 6.71% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.37 Bn | 80.45 Bn | 1.55 Bn | 7.27% |
| 2 | Ferrovial | 35.66 Bn | 13.90 Bn | - | - |
| 3 | Emcor | 28.79 Bn | 25.18 Bn | 1.02 Bn | 10.62% |
| 4 | Jacobs Solutions | 17.11 Bn | 11.77 Bn | 810.70 Mn | 7.03% |
| 5 | Mastec | 13.35 Bn | 12.13 Bn | 556.28 Mn | 5.17% |
| 6 | Sterling Infrastructure | 10.94 Bn | 9.27 Bn | 289.96 Mn | 18.77% |
| 7 | IES Holdings | 8.50 Bn | 7.36 Bn | 340.66 Mn | 14.37% |
| 8 | Stantec | 8.11 Bn | 7.03 Bn | 1.36 Bn | 12.58% |
| 9 | Aecom | 7.78 Bn | 2.90 Bn | -34.04 Mn | -2.12% |
| 10 | Dycom Industries | 6.52 Bn | 5.65 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 7.03% |
| Mar 27, 2026 | -2.20% |
| Dec 26, 2025 | 7.06% |
| Sep 26, 2025 | 6.71% |
| Jun 27, 2025 | 7.75% |
| Mar 28, 2025 | 7.17% |
| Dec 27, 2024 | 7.11% |
| Sep 27, 2024 | 6.63% |
| Jun 28, 2024 | 5.93% |
| Mar 29, 2024 | 6.44% |
| Dec 29, 2023 | 5.05% |
| Sep 29, 2023 | 5.94% |
| Jun 30, 2023 | 6.01% |
| Mar 31, 2023 | 6.94% |
| Dec 30, 2022 | 6.07% |
| Sep 30, 2022 | 5.52% |
| Jul 1, 2022 | 6.94% |
| Apr 1, 2022 | 4.34% |
| Dec 31, 2021 | 5.25% |
| Oct 1, 2021 | 7.01% |
Jacobs Solutions Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=J&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=J&period=max&api_key=YOUR_API_KEY");
const data = await res.json();