Bce (BCE) Accumulated Expenses (2009 - 2026)
Bce (BCE) recorded Accumulated Expenses of $240.99 million in Q3 2026, up 19.3% from $201.92 million a year earlier but down 24.1% from the prior quarter.
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Analysis
Bce (BCE) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Bce reported Accumulated Expenses of $317.64 million, up 16.3% from FY2024.
- Annual Accumulated Expenses has increased for ten straight years, with a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $273.17 million in FY2024 (+8.9%), $250.95 million in FY2023 (+21.0%), $207.35 million in FY2022 (+7.0%) and $193.81 million in FY2021 (+11.3%).
- Quarterly Accumulated Expenses has ranged from $129.78 million in Q1 2022 to $317.64 million in Q4 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for four consecutive quarters, with growth averaging 2.4% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 60.9% in Q1 2024, against a decline of 19.8% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $317.4 million (Q2 2026), $202.47 million (Q1 2026) and $317.64 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 192.19 Bn | 159.83 Bn | 27.05 Bn |
| 2 | T-Mobile US | 180.63 Bn | 163.07 Bn | 15.13 Bn |
| 3 | At&T | 149.48 Bn | 106.93 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 138.76 Bn | 131.89 Bn | 960.50 Mn |
| 5 | Comcast | 89.06 Bn | 55.02 Bn | - |
| 6 | Chunghwa Telecom | 38.69 Bn | 31.18 Bn | 728.80 Mn |
| 7 | Vodafone Group Public | 37.39 Bn | 5.63 Bn | - |
| 8 | EchoStar | 29.07 Bn | 10.15 Bn | 647.20 Mn |
| 9 | Bce | 19.98 Bn | 18.22 Bn | 11.61 Bn |
| 10 | Telefonica Brasil | 19.21 Bn | 13.23 Bn | 1.42 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 240.99 Mn |
| Jun 30, 2026 | 317.40 Mn |
| Mar 31, 2026 | 202.47 Mn |
| Dec 31, 2025 | 317.64 Mn |
| Sep 30, 2025 | 201.92 Mn |
| Jun 30, 2025 | 306.26 Mn |
| Mar 31, 2025 | 198.48 Mn |
| Dec 31, 2024 | 273.17 Mn |
| Sep 30, 2024 | 243.54 Mn |
| Jun 30, 2024 | 289.80 Mn |
| Mar 31, 2024 | 247.49 Mn |
| Dec 31, 2023 | 250.95 Mn |
| Sep 30, 2023 | 191.24 Mn |
| Jun 30, 2023 | 230.19 Mn |
| Mar 31, 2023 | 153.82 Mn |
| Dec 31, 2022 | 207.35 Mn |
| Sep 30, 2022 | 141.87 Mn |
| Jun 30, 2022 | 196.38 Mn |
| Mar 31, 2022 | 129.78 Mn |
| Dec 31, 2021 | 193.81 Mn |
API Access
Bce Accumulated Expenses 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=accumulated-expenses&ticker=BCE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();