Jacobs Solutions (J) Interest Expenses (2009 - 2026)
Jacobs Solutions' Interest Expenses came in at $54.65 million for fiscal Q3 2026 (quarter ended Jun 26, 2026), up 47.5% from $37.05 million a year earlier and up 33.1% from the prior quarter.
Jacobs Solutions (J) Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 26, 2026, Jacobs Solutions reported Interest Expenses of $165.32 million, up 13.1% year-over-year; for FY2025 (ended Sep 26, 2025), it came in at $145.79 million, down 13.8% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 18.6% (FY2020 to FY2025).
- Going back by fiscal year, Interest Expenses was $169.06 million in FY2024 (+0.6%), $168.09 million in FY2023 (+67.8%), $100.19 million in FY2022 (+37.8%) and $72.71 million in FY2021 (+16.9%).
- The fiscal Q3 2026 figure represents the highest quarterly Interest Expenses in data going back to fiscal Q1 2009.
- Year-over-year, Interest Expenses increased in two of the last eight quarters, with an average decline of 2.3%.
- The fastest year-over-year change in Interest Expenses over five years came in fiscal Q1 2023 (growth of 106.3%), and the weakest in fiscal Q1 2025 (a decline of 19.7%).
- Business Quant data shows J's Interest Expenses at $41.08 million (Q2 2026), $34.25 million (Q1 2026) and $35.34 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 73.55 Mn |
| 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 | 90.60 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 3.09 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 54.65 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 1.01 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 36.94 Mn |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | 47.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 54.65 Mn |
| Mar 27, 2026 | 41.08 Mn |
| Dec 26, 2025 | 34.25 Mn |
| Sep 26, 2025 | 35.34 Mn |
| Jun 27, 2025 | 37.05 Mn |
| Mar 28, 2025 | 38.58 Mn |
| Dec 27, 2024 | 34.82 Mn |
| Sep 27, 2024 | 35.69 Mn |
| Jun 28, 2024 | 45.79 Mn |
| Mar 29, 2024 | 44.23 Mn |
| Dec 29, 2023 | 43.35 Mn |
| Sep 29, 2023 | 43.61 Mn |
| Jun 30, 2023 | 43.79 Mn |
| Mar 31, 2023 | 40.61 Mn |
| Dec 30, 2022 | 40.08 Mn |
| Sep 30, 2022 | 32.64 Mn |
| Jul 1, 2022 | 26.13 Mn |
| Apr 1, 2022 | 22.00 Mn |
| Dec 31, 2021 | 19.43 Mn |
| Oct 1, 2021 | 19.93 Mn |
Jacobs Solutions Interest 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=interest-expenses&ticker=J&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=J&period=max&api_key=YOUR_API_KEY");
const data = await res.json();