Jacobs Solutions (J) Exchange Rate Effect (2009 - 2026)
Jacobs Solutions (J) posted Exchange Rate Effect of -$3.28 million for fiscal Q3 2026 (quarter ended Jun 26, 2026), compared with $52.76 million a year earlier.
Jacobs Solutions (J) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 26, 2026, Exchange Rate Effect at Jacobs Solutions was -$22.87 million; for FY2025 (ended Sep 26, 2025), it was $3.69 million, down 91.1% from FY2024.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of -43.1% (FY2020 to FY2025).
- In prior fiscal years, Jacobs Solutions' Exchange Rate Effect was $41.64 million in FY2024 (+27.9%), $32.55 million in FY2023, -$128.89 million in FY2022 and $19.64 million in FY2021 (-68.3%).
- Quarterly Exchange Rate Effect has run from a low of -$67.13 million in fiscal Q3 2022 to a high of $52.76 million in fiscal Q3 2025 over five years.
- According to Business Quant data, Exchange Rate Effect for the three prior fiscal quarters was -$16.96 million (Q2 2026), $11.66 million (Q1 2026) and -$14.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 677,000.00 |
| 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 | -60,000.00 |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | - |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | -3.28 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | - |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | - |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | -1.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | -3.28 Mn |
| Mar 27, 2026 | -16.96 Mn |
| Dec 26, 2025 | 11.66 Mn |
| Sep 26, 2025 | -14.30 Mn |
| Jun 27, 2025 | 52.76 Mn |
| Mar 28, 2025 | 23.41 Mn |
| Dec 27, 2024 | -58.18 Mn |
| Sep 27, 2024 | 29.43 Mn |
| Jun 28, 2024 | -5.42 Mn |
| Mar 29, 2024 | -16.52 Mn |
| Dec 29, 2023 | 34.15 Mn |
| Sep 29, 2023 | -28.76 Mn |
| Jun 30, 2023 | 11.55 Mn |
| Mar 31, 2023 | -2.05 Mn |
| Dec 30, 2022 | 51.81 Mn |
| Sep 30, 2022 | -48.97 Mn |
| Jul 1, 2022 | -67.13 Mn |
| Apr 1, 2022 | -15.51 Mn |
| Dec 31, 2021 | 2.72 Mn |
| Oct 1, 2021 | -14.98 Mn |
Jacobs Solutions Exchange Rate Effect 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=exchange-rate-effect&ticker=J&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=J&period=max&api_key=YOUR_API_KEY");
const data = await res.json();