Jacobs Solutions (J) Income After Tax (2009 - 2026)
Jacobs Solutions (J) recorded Profit After Tax of $136.61 million in fiscal Q3 2026 (quarter ended Jun 26, 2026), down 28.6% from $191.35 million a year earlier.
Jacobs Solutions (J) Income After Tax (2009 - 2026) Analysis & Trends
On a TTM basis, Jacobs Solutions' Profit After Tax came in at $319.53 million as of Jun 26, 2026, down 37.6% year-over-year; for FY2025 (ended Sep 26, 2025), it was $327.92 million, down 49.2% from FY2024.
- Annual Profit After Tax has a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- Across earlier fiscal years, Profit After Tax came in at $645.79 million in FY2024 (+53.9%), $419.64 million in FY2023 (+2.1%), $411.17 million in FY2022 (-2.3%) and $420.82 million in FY2021 (+9.1%).
- Quarterly Profit After Tax has ranged from -$85.52 million in fiscal Q2 2026 to $319.14 million in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Profit After Tax rose in two of the last five quarters, with growth averaging 7.2%.
- Peak year-over-year performance for Profit After Tax in the last five years was growth of 183.2% in fiscal Q4 2021, against a decline of 94.8% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$85.52 million (Q2 2026), $133.11 million (Q1 2026) and $135.33 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 87.86 Bn | 84.32 Bn | 2.01 Bn | 706.91 Mn |
| 2 | Ferrovial | 43.95 Bn | 24.55 Bn | - | - |
| 3 | Emcor | 28.40 Bn | 24.67 Bn | 1.11 Bn | 399.93 Mn |
| 4 | Jacobs Solutions | 18.40 Bn | 13.04 Bn | 810.70 Mn | 136.61 Mn |
| 5 | Mastec | 14.54 Bn | 13.22 Bn | 660.86 Mn | 167.76 Mn |
| 6 | Aecom | 9.09 Bn | 4.41 Bn | -34.04 Mn | -80.00 Mn |
| 7 | Sterling Infrastructure | 8.86 Bn | 7.32 Bn | 377.28 Mn | 229.68 Mn |
| 8 | Stantec | 8.64 Bn | 7.57 Bn | 1.36 Bn | 188.76 Mn |
| 9 | IES Holdings | 6.87 Bn | 5.74 Bn | 340.66 Mn | 204.84 Mn |
| 10 | Dycom Industries | 6.60 Bn | 4.90 Bn | 440.55 Mn | 115.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 136.61 Mn |
| Mar 27, 2026 | -85.52 Mn |
| Dec 26, 2025 | 133.11 Mn |
| Sep 26, 2025 | 135.33 Mn |
| Jun 27, 2025 | 191.35 Mn |
| Mar 28, 2025 | 5.25 Mn |
| Dec 27, 2024 | -4.00 Mn |
| Sep 27, 2024 | 319.14 Mn |
| Jun 28, 2024 | 91.19 Mn |
| Mar 29, 2024 | 100.65 Mn |
| Dec 29, 2023 | 134.82 Mn |
| Sep 29, 2023 | 154.08 Mn |
| Jun 30, 2023 | 71.04 Mn |
| Mar 31, 2023 | 129.61 Mn |
| Dec 30, 2022 | 64.90 Mn |
| Sep 30, 2022 | -63.77 Mn |
| Jul 1, 2022 | 212.62 Mn |
| Apr 1, 2022 | 109.12 Mn |
| Dec 31, 2021 | 153.20 Mn |
| Oct 1, 2021 | -279.84 Mn |
Jacobs Solutions Income After Tax 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=profit-after-tax&ticker=J&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=J&period=max&api_key=YOUR_API_KEY");
const data = await res.json();