Stantec (STN) EPS (Diluted) (2009 - 2026)
Stantec (STN) recorded EPS (Diluted) of $1.65 in the quarter ended Jun 30, 2026, up 11.1% from $1.49 a year earlier and up 133.6% from the prior quarter.
Stantec (STN) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a TTM basis, Stantec's EPS (Diluted) came in at $5.41 as of Jun 30, 2026, up 22.7% year-over-year; for the year ended Dec 31, 2025, it was $3.01, up 29.9% from the prior year.
- Annual EPS (Diluted) has increased for five straight years, with a five-year compound annual growth rate of 21.4% (years ended Dec 2020 to Dec 2025).
- Across earlier years, EPS (Diluted) came in at $2.31 in the year ended Dec 31, 2024 (+9.8%), $2.11 in the year ended Dec 31, 2023 (+23.3%), $1.71 in the year ended Dec 31, 2022 (+19.2%) and $1.43 in the year ended Dec 31, 2021 (+25.8%).
- Quarterly EPS (Diluted) has ranged from $0.12 in the quarter ended Dec 31, 2021 to $2.46 in the quarter ended Sep 30, 2025 over the past five years.
- On a year-over-year basis, EPS (Diluted) rose in seven of the last eight quarters, with growth averaging 18.8%.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 313.2% in the quarter ended Dec 31, 2022, against a decline of 11.8% in the quarter ended Mar 31, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $0.71 (quarter ended Mar 31, 2026), $0.59 (quarter ended Dec 31, 2025) and $2.46 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.81 Bn | 87.89 Bn | 1.55 Bn | 2.96 |
| 2 | Ferrovial | 35.40 Bn | 13.65 Bn | - | - |
| 3 | Emcor | 31.21 Bn | 27.60 Bn | 1.02 Bn | 9.06 |
| 4 | Jacobs Solutions | 16.43 Bn | 11.10 Bn | 810.70 Mn | 1.15 |
| 5 | Mastec | 14.65 Bn | 13.43 Bn | 556.28 Mn | 1.65 |
| 6 | Sterling Infrastructure | 12.67 Bn | 10.99 Bn | 289.96 Mn | 5.00 |
| 7 | IES Holdings | 9.64 Bn | 8.50 Bn | 340.66 Mn | 3.79 |
| 8 | Stantec | 7.86 Bn | 6.79 Bn | 1.36 Bn | 1.65 |
| 9 | Aecom | 7.59 Bn | 2.71 Bn | -34.04 Mn | -0.67 |
| 10 | Dycom Industries | 7.30 Bn | 6.43 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.65 |
| Mar 31, 2026 | 0.71 |
| Dec 31, 2025 | 0.90 |
| Sep 30, 2025 | 2.46 |
| Jun 30, 2025 | 1.49 |
| Mar 31, 2025 | 0.61 |
| Dec 31, 2024 | 0.79 |
| Sep 30, 2024 | 1.74 |
| Jun 30, 2024 | 1.08 |
| Mar 31, 2024 | 0.53 |
| Dec 31, 2023 | 0.60 |
| Sep 30, 2023 | 1.72 |
| Jun 30, 2023 | 1.02 |
| Mar 31, 2023 | 0.43 |
| Dec 31, 2022 | 0.60 |
| Sep 30, 2022 | 1.19 |
| Jun 30, 2022 | 0.74 |
| Mar 31, 2022 | 0.32 |
| Dec 31, 2021 | 0.45 |
| Sep 30, 2021 | 1.31 |
Stantec EPS (Diluted) 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=eps-diluted&ticker=STN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "STN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=eps-diluted&ticker=STN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();