Aecom (ACM) Operating Margin (2009 - 2026)
Aecom (ACM) posted Operating Margin of -2.12% for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 9.16 percentage points from 7.04% a year earlier and down 8.64 percentage points from the prior quarter.
Aecom (ACM) Operating Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Margin at Aecom was 4.10%, down 2.28 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was 6.36%, up 1.22 percentage points from FY2024.
- Annual Operating Margin shows a five-year change of +3.48 percentage points (FY2020 to FY2025).
- In prior fiscal years, Aecom's Operating Margin was 5.14% in FY2024 (+2.88 pp), 2.25% in FY2023 (-2.67 pp), 4.92% in FY2022 (+0.20 pp) and 4.72% in FY2021 (+1.84 pp).
- The fiscal Q3 2026 figure stands as the lowest quarterly Operating Margin since fiscal Q3 2023.
- On a year-over-year basis, Operating Margin has declined in each of the last four quarters, with an average year-over-year change of -0.12 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Operating Margin in the past five years was fiscal Q3 2024, with a gain of 8.36 percentage points; the weakest was fiscal Q3 2026, with a drop of 9.16 percentage points.
- According to Business Quant data, Operating Margin for the three prior fiscal quarters was 6.52% (Q2 2026), 5.80% (Q1 2026) and 5.69% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.22 Bn | 85.60 Bn | 2.01 Bn | 8.54% |
| 2 | Ferrovial | 44.13 Bn | 22.38 Bn | - | - |
| 3 | Emcor | 28.90 Bn | 25.18 Bn | 1.11 Bn | 9.85% |
| 4 | Jacobs Solutions | 18.48 Bn | 13.15 Bn | 810.70 Mn | 7.03% |
| 5 | Mastec | 14.92 Bn | 13.45 Bn | 660.86 Mn | 5.35% |
| 6 | Aecom | 9.02 Bn | 4.14 Bn | -34.04 Mn | -2.12% |
| 7 | Sterling Infrastructure | 8.94 Bn | 7.35 Bn | 377.28 Mn | 19.62% |
| 8 | Stantec | 8.70 Bn | 7.62 Bn | 1.36 Bn | 12.58% |
| 9 | Fluor | 7.00 Bn | -6.21 Bn | 179.00 Mn | 3.12% |
| 10 | IES Holdings | 6.92 Bn | 5.78 Bn | 340.66 Mn | 14.37% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.12% |
| Mar 31, 2026 | 6.52% |
| Dec 31, 2025 | 5.80% |
| Sep 30, 2025 | 5.69% |
| Jun 30, 2025 | 7.04% |
| Mar 31, 2025 | 6.83% |
| Dec 31, 2024 | 5.92% |
| Sep 30, 2024 | 5.75% |
| Jun 30, 2024 | 5.48% |
| Mar 31, 2024 | 5.08% |
| Dec 31, 2023 | 4.18% |
| Sep 30, 2023 | 2.09% |
| Jun 30, 2023 | -2.88% |
| Mar 31, 2023 | 5.66% |
| Dec 31, 2022 | 4.49% |
| Sep 30, 2022 | 5.37% |
| Jun 30, 2022 | 5.65% |
| Mar 31, 2022 | 3.47% |
| Dec 31, 2021 | 5.15% |
| Sep 30, 2021 | 5.08% |
Aecom Operating 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=operating-margin&ticker=ACM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "ACM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-margin&ticker=ACM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();