Stantec (STN) Operating Leases (2019 - 2026)
Stantec's Operating Leases came in at $80.97 million for the quarter ended Jun 30, 2026, down 4.8% from $85.02 million a year earlier but up 4.1% from the prior quarter.
Stantec (STN) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Stantec's Operating Leases was $81.31 million, down 2.0% from the prior year.
- Operating Leases carries a five-year compound annual growth rate of 1.0% (years ended Dec 2020 to Dec 2025).
- Going back by year, Operating Leases was $82.97 million in the year ended Dec 31, 2024 (+10.5%), $75.08 million in the year ended Dec 31, 2023 (-1.4%), $76.15 million in the year ended Dec 31, 2022 (-23.0%) and $98.87 million in the year ended Dec 31, 2021 (+27.8%).
- The five-year range for quarterly Operating Leases is $71.6 million (the quarter ended Mar 31, 2023) to $98.29 million (the quarter ended Dec 31, 2021).
- Year-over-year, Operating Leases increased in five of the last eight quarters, with growth averaging 2.8%.
- The fastest year-over-year change in Operating Leases over five years came in the quarter ended Dec 31, 2021 (growth of 23.7%), and the weakest in the quarter ended Dec 31, 2022 (a decline of 25.8%).
- Business Quant data shows STN's Operating Leases at $77.81 million (quarter ended Mar 31, 2026), $81.46 million (quarter ended Dec 31, 2025) and $87.85 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 89.81 Bn | 87.89 Bn | 1.55 Bn |
| 2 | Ferrovial | 35.40 Bn | 13.65 Bn | - |
| 3 | Emcor | 31.21 Bn | 27.60 Bn | 1.02 Bn |
| 4 | Jacobs Solutions | 16.43 Bn | 11.10 Bn | 810.70 Mn |
| 5 | Mastec | 14.65 Bn | 13.43 Bn | 556.28 Mn |
| 6 | Sterling Infrastructure | 12.67 Bn | 10.99 Bn | 289.96 Mn |
| 7 | IES Holdings | 9.64 Bn | 8.50 Bn | 340.66 Mn |
| 8 | Stantec | 7.86 Bn | 6.79 Bn | 1.36 Bn |
| 9 | Aecom | 7.59 Bn | 2.71 Bn | -34.04 Mn |
| 10 | Dycom Industries | 7.30 Bn | 6.43 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.82 Mn |
| Mar 31, 2026 | 76.61 Mn |
| Dec 31, 2025 | 427.46 Mn |
| Sep 30, 2025 | 86.88 Mn |
| Jun 30, 2025 | 86.10 Mn |
| Mar 31, 2025 | 80.44 Mn |
| Dec 31, 2024 | 368.37 Mn |
| Sep 30, 2024 | 81.43 Mn |
| Jun 30, 2024 | 76.72 Mn |
| Mar 31, 2024 | 83.70 Mn |
| Dec 31, 2023 | 361.16 Mn |
| Sep 30, 2023 | 75.61 Mn |
| Jun 30, 2023 | 79.32 Mn |
| Mar 31, 2023 | 71.59 Mn |
| Dec 31, 2022 | 385.48 Mn |
| Sep 30, 2022 | 74.08 Mn |
| Jun 30, 2022 | 87.63 Mn |
| Mar 31, 2022 | 89.09 Mn |
| Dec 31, 2021 | 427.64 Mn |
| Sep 30, 2021 | 78.96 Mn |
Stantec Operating Leases 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-leases&ticker=STN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=STN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();