Rogers Communications (RCI) Operating Leases (2019 - 2026)
Rogers Communications' Operating Leases was $1.87 billion in the quarter ended Sep 30, 2026, up 7.9% from $1.74 billion a year earlier but down 1.0% from the prior quarter.
Rogers Communications (RCI) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Operating Leases at Rogers Communications came in at $1.77 billion, up 16.1% from the prior year.
- Operating Leases shows a five-year compound annual growth rate of 7.7% (years ended Dec 2020 to Dec 2025).
- In earlier years, Operating Leases was $1.53 billion in the year ended Dec 31, 2024 (-3.3%), $1.58 billion in the year ended Dec 31, 2023 (+28.4%), $1.23 billion in the year ended Dec 31, 2022 (-3.3%) and $1.27 billion in the year ended Dec 31, 2021 (+4.2%).
- Quarterly Operating Leases has moved between $1.21 billion (the quarter ended Sep 30, 2022) and $1.89 billion (the quarter ended Jun 30, 2026) over five years.
- Compared with a year earlier, Operating Leases has increased for six straight quarters, with growth averaging 7.8% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was the quarter ended Dec 31, 2023 (growth of 28.4%); the worst was the quarter ended Mar 31, 2023 (a decline of 5.8%).
- Per Business Quant data, RCI's Operating Leases in the three quarters before the quarter ended Sep 30, 2026 was $1.89 billion (quarter ended Jun 30, 2026), $1.8 billion (quarter ended Mar 31, 2026) and $1.77 billion (quarter ended Dec 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 182.48 Bn | 183.78 Bn | - |
| 2 | T-Mobile US | 157.82 Bn | 142.56 Bn | 14.76 Bn |
| 3 | At&T | 141.06 Bn | 98.51 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 135.02 Bn | 127.32 Bn | 318.12 Mn |
| 5 | Comcast | 77.31 Bn | 43.27 Bn | - |
| 6 | Vodafone Group Public | 38.32 Bn | 11.99 Bn | - |
| 7 | Chunghwa Telecom | 37.64 Bn | 30.13 Bn | 728.80 Mn |
| 8 | EchoStar | 26.23 Bn | 17.36 Bn | 1.65 Bn |
| 9 | Bce | 18.73 Bn | 17.08 Bn | 3.38 Bn |
| 10 | Rogers Communications | 17.16 Bn | 16.11 Bn | 1.81 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.87 Bn |
| Jun 30, 2026 | 1.89 Bn |
| Mar 31, 2026 | 1.80 Bn |
| Dec 31, 2025 | 1.77 Bn |
| Sep 30, 2025 | 1.74 Bn |
| Jun 30, 2025 | 1.71 Bn |
| Mar 31, 2025 | 1.53 Bn |
| Dec 31, 2024 | 1.53 Bn |
| Sep 30, 2024 | 1.60 Bn |
| Jun 30, 2024 | 1.58 Bn |
| Mar 31, 2024 | 1.58 Bn |
| Dec 31, 2023 | 1.58 Bn |
| Sep 30, 2023 | 1.51 Bn |
| Jun 30, 2023 | 1.52 Bn |
| Mar 31, 2023 | 1.24 Bn |
| Dec 31, 2022 | 1.23 Bn |
| Sep 30, 2022 | 1.21 Bn |
| Jun 30, 2022 | 1.28 Bn |
| Mar 31, 2022 | 1.32 Bn |
| Dec 31, 2021 | 1.27 Bn |
Rogers Communications 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=RCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "RCI", "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=RCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();