Telus (TU) Accumulated Expenses (2012 - 2026)
Telus (TU) recorded Accumulated Expenses of $858.11 million in Q4 2026, down 15.2% from $1.01 billion a year earlier.
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Analysis
Telus (TU) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2026, Telus reported Accumulated Expenses of $861.73 million.
- Annual Accumulated Expenses has a three-year compound annual growth rate of -4.4% (FY2023 to FY2026).
- Across earlier years, Accumulated Expenses came in at $893.49 million in FY2025 (-9.9%), $991.45 million in FY2024 (+0.6%) and $985.75 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 187.75 Bn | 152.16 Bn | 27.03 Bn |
| 2 | T-Mobile US | 170.67 Bn | 155.42 Bn | 14.76 Bn |
| 3 | At&T | 153.32 Bn | 110.77 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 148.71 Bn | 141.01 Bn | 318.12 Mn |
| 5 | Comcast | 80.85 Bn | 46.81 Bn | - |
| 6 | Vodafone Group Public | 39.22 Bn | 12.89 Bn | - |
| 7 | Chunghwa Telecom | 37.80 Bn | 30.30 Bn | 728.80 Mn |
| 8 | EchoStar | 24.89 Bn | 16.03 Bn | 1.65 Bn |
| 9 | Telefonica Brasil | 20.92 Bn | 14.94 Bn | 1.42 Bn |
| 10 | Telus | 13.71 Bn | 6.87 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 835.39 Mn |
| Dec 31, 2025 | 909.84 Mn |
| Jun 30, 2025 | 1.02 Bn |
| Dec 31, 2024 | 965.17 Mn |
| Jun 30, 2024 | 978.88 Mn |
| Dec 31, 2023 | 1.01 Bn |
| Jun 30, 2023 | 37.74 Mn |
| Dec 31, 2022 | 6.64 Mn |
| Jun 30, 2022 | 2.33 Mn |
| Dec 31, 2021 | 3.92 Mn |
| Dec 31, 2020 | 24.31 Mn |
| Jun 30, 2020 | 2.93 Mn |
| Jun 30, 2019 | 6.87 Mn |
| Jun 30, 2016 | 882.00 Mn |
| Mar 31, 2016 | 844.00 Mn |
| Dec 31, 2015 | 843.00 Mn |
| Sep 30, 2015 | 852.00 Mn |
| Jun 30, 2015 | 917.00 Mn |
| Mar 31, 2015 | 863.00 Mn |
| Dec 31, 2014 | 857.00 Mn |
API Access
Telus 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=TU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "TU", "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=TU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();