Bce (BCE) Change in Property, Plant and Equipment (2009 - 2026)
Bce (BCE) posted Change in Property, Plant and Equipment of -$780.76 million for Q2 2026, compared with -$550.67 million a year earlier.
Bce (BCE) Change in Property, Plant and Equipment (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Property, Plant and Equipment at Bce was -$3.71 billion; for FY2025, it was -$2.65 billion.
- In prior years, Bce's Change in Property, Plant and Equipment was -$2.85 billion in FY2024, -$3.4 billion in FY2023, -$3.95 billion in FY2022 and -$3.87 billion in FY2021.
- Quarterly Change in Property, Plant and Equipment has run from a low of -$6.54 billion in Q4 2021 to a high of $4.46 billion in Q3 2021 over five years.
- On a year-over-year basis, Change in Property, Plant and Equipment increased in 1 of the last five quarters, with an average decline of 4.1%.
- The strongest year-over-year quarter for Change in Property, Plant and Equipment in the past five years was Q3 2021, with growth of 475.8%; the weakest was Q3 2022, with a decline of 77.3%.
- According to Business Quant data, Change in Property, Plant and Equipment for the three prior quarters was $787.54 million (Q1 2026), -$4.36 billion (Q4 2025) and $647.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.79 Bn | 157.13 Bn | 27.05 Bn | -3.72 Bn |
| 2 | T-Mobile US | 173.48 Bn | 155.91 Bn | 15.13 Bn | 657.00 Mn |
| 3 | At&T | 147.74 Bn | 89.20 Bn | 26.22 Bn | -5.06 Bn |
| 4 | Grupo Televisa, S.A.B | 147.02 Bn | 147.02 Bn | 960.50 Mn | - |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - | -3.06 Bn |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn | 167.73 Mn |
| 7 | Vodafone Group Public | 37.42 Bn | 6.82 Bn | - | - |
| 8 | EchoStar | 27.50 Bn | 8.54 Bn | 647.20 Mn | -64.97 Mn |
| 9 | Bce | 20.09 Bn | 18.08 Bn | 2.79 Bn | 2.32 Bn |
| 10 | Telefonica Brasil | 18.40 Bn | 12.42 Bn | 1.42 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.32 Bn |
| Jun 30, 2026 | -780.76 Mn |
| Mar 31, 2026 | 787.54 Mn |
| Dec 31, 2025 | -4.36 Bn |
| Sep 30, 2025 | 647.43 Mn |
| Jun 30, 2025 | -550.67 Mn |
| Mar 31, 2025 | 531.75 Mn |
| Dec 31, 2024 | 2.79 Bn |
| Sep 30, 2024 | 699.33 Mn |
| Jun 30, 2024 | -715.06 Mn |
| Mar 31, 2024 | 707.98 Mn |
| Dec 31, 2023 | 3.36 Bn |
| Sep 30, 2023 | 864.53 Mn |
| Jun 30, 2023 | -973.00 Mn |
| Mar 31, 2023 | 857.31 Mn |
| Dec 31, 2022 | 3.78 Bn |
| Sep 30, 2022 | 1.01 Bn |
| Jun 30, 2022 | -956.11 Mn |
| Mar 31, 2022 | 1.04 Bn |
| Dec 31, 2021 | -6.54 Bn |
Bce Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=BCE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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=change-in-property-plant-and-equipment&ticker=BCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();