Bce (BCE) Cash & Equivalents (2009 - 2026)
Bce (BCE) reported Cash & Equivalents of $344.84 million for the quarter ended Jun 30, 2026, down 5.8% from $365.91 million a year earlier and down 65.4% from the prior quarter.
Bce (BCE) Cash & Equivalents (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Bce posted Cash & Equivalents of $225.17 million.
- Cash & Equivalents has a five-year compound annual growth rate of 5.6% (years ended Dec 2020 to Dec 2025).
- By year, Cash & Equivalents came in at -$1.57 billion in the year ended Dec 31, 2024, $225 million in the year ended Dec 31, 2023 (+208.5%), $72.93 million in the year ended Dec 31, 2022 (-68.4%) and $230.61 million in the year ended Dec 31, 2021 (+34.2%).
- Five-year quarterly Cash & Equivalents spans a low of -$447.01 million in the quarter ended Sep 30, 2022 and a high of $1.66 billion in the quarter ended Sep 30, 2021.
- Year over year, Cash & Equivalents gained in four of the last eight quarters, with growth averaging 29.6%.
- The high point for year-over-year Cash & Equivalents in five years was the quarter ended Dec 31, 2023 (growth of 450.9%); the low point was the quarter ended Mar 31, 2022 (a decline of 91.1%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $996.82 million (quarter ended Mar 31, 2026), $225.17 million (quarter ended Dec 31, 2025) and $334.25 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 185.12 Bn | 148.25 Bn | 27.03 Bn | 1.75 Bn |
| 2 | T-Mobile US | 158.91 Bn | 143.65 Bn | 14.76 Bn | 2.83 Bn |
| 3 | Grupo Televisa, S.A.B | 148.90 Bn | 140.64 Bn | 318.12 Mn | 1.70 Bn |
| 4 | At&T | 143.74 Bn | 85.21 Bn | 26.22 Bn | 10.77 Bn |
| 5 | Comcast | 80.89 Bn | 46.68 Bn | - | 7.60 Bn |
| 6 | Vodafone Group Public | 37.82 Bn | 7.21 Bn | - | 10.31 Bn |
| 7 | Chunghwa Telecom | 37.66 Bn | 29.67 Bn | 728.80 Mn | 1.32 Bn |
| 8 | EchoStar | 25.88 Bn | 16.97 Bn | 1.65 Bn | 439.99 Mn |
| 9 | Telefonica Brasil | 20.85 Bn | 14.87 Bn | 1.42 Bn | 1.64 Bn |
| 10 | Bce | 18.99 Bn | 17.11 Bn | 3.38 Bn | 335.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 335.70 Mn |
| Mar 31, 2026 | 981.45 Mn |
| Dec 31, 2025 | 229.29 Mn |
| Sep 30, 2025 | 330.55 Mn |
| Jun 30, 2025 | 370.58 Mn |
| Mar 31, 2025 | 733.10 Mn |
| Dec 31, 2024 | 1.10 Bn |
| Sep 30, 2024 | 1.38 Bn |
| Jun 30, 2024 | 1.02 Bn |
| Mar 31, 2024 | 582.89 Mn |
| Dec 31, 2023 | 413.47 Mn |
| Sep 30, 2023 | 421.76 Mn |
| Jun 30, 2023 | 339.62 Mn |
| Mar 31, 2023 | 481.44 Mn |
| Dec 31, 2022 | 73.05 Mn |
| Sep 30, 2022 | 426.34 Mn |
| Jun 30, 2022 | 462.61 Mn |
| Mar 31, 2022 | 142.60 Mn |
| Dec 31, 2021 | 226.77 Mn |
| Sep 30, 2021 | 1.64 Bn |
Bce Cash & Equivalents 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=cash-and-equivalents&ticker=BCE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "BCE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=BCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();