Rogers Communications (RCI) Price to Book (2009 - 2026)
Rogers Communications' (RCI) Price to Book came in at 1.43 for the quarter ended Sep 30, 2026, up 0.9% from 1.42 a year earlier but down 5.1% from the prior quarter.
Rogers Communications (RCI) Price to Book (2009 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Rogers Communications' Price to Book stood at 1.57, down 30.6% from the prior year.
- Annual Price to Book has declined for three consecutive years.
- In prior years, Rogers Communications' Price to Book was 2.26 in the year ended Dec 31, 2024 (-8.9%), 2.48 in the year ended Dec 31, 2023 (-21.8%), 3.18 in the year ended Dec 31, 2022 (+9.1%) and 2.91 in the year ended Dec 31, 2021 (-7.1%).
- Quarterly Price to Book has run from a low of 1.42 in the quarter ended Sep 30, 2025 to a high of 3.22 in the quarter ended Mar 31, 2022 over five years.
- On a year-over-year basis, Price to Book increased in 1 of the last eight quarters, with an average decline of 20.3%.
- The strongest year-over-year quarter for Price to Book in the past five years was the quarter ended Mar 31, 2022, with growth of 10.3%; the weakest was the quarter ended Sep 30, 2025, with a decline of 41.3%.
- According to Business Quant data, Price to Book for the three prior quarters was 1.51 (quarter ended Jun 30, 2026), 1.61 (quarter ended Mar 31, 2026) and 1.57 (quarter ended Dec 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 190.79 Bn | 157.13 Bn | 27.05 Bn |
| 2 | T-Mobile US | 173.48 Bn | 155.91 Bn | 15.13 Bn |
| 3 | At&T | 147.74 Bn | 89.20 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 147.02 Bn | 147.02 Bn | 960.50 Mn |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn |
| 7 | Vodafone Group Public | 37.42 Bn | 6.82 Bn | - |
| 8 | EchoStar | 27.50 Bn | 8.54 Bn | 647.20 Mn |
| 9 | Bce | 20.09 Bn | 18.08 Bn | 2.79 Bn |
| 10 | Rogers Communications | 18.01 Bn | 12.60 Bn | 1.81 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.43 |
| Jun 30, 2026 | 1.51 |
| Mar 31, 2026 | 1.61 |
| Dec 31, 2025 | 1.57 |
| Sep 30, 2025 | 1.42 |
| Jun 30, 2025 | 1.81 |
| Mar 31, 2025 | 1.80 |
| Dec 31, 2024 | 2.26 |
| Sep 30, 2024 | 2.41 |
| Jun 30, 2024 | 2.39 |
| Mar 31, 2024 | 2.62 |
| Dec 31, 2023 | 2.48 |
| Sep 30, 2023 | 2.36 |
| Jun 30, 2023 | 2.62 |
| Mar 31, 2023 | 3.03 |
| Dec 31, 2022 | 3.18 |
| Sep 30, 2022 | 2.75 |
| Jun 30, 2022 | 2.88 |
| Mar 31, 2022 | 3.22 |
| Dec 31, 2021 | 2.91 |
Rogers Communications Price to Book 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=price-to-book&ticker=RCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=RCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();