Telus (TU) Operating Expenses (2009 - 2026)
Telus (TU) posted Operating Expenses of $7.97 billion for FY2026.
Analysis
Telus (TU) Operating Expenses (2009 - 2026) Analysis & Trends
Since FY2009, Telus has reported Operating Expenses for 18 years.
- Annual Operating Expenses shows a five-year compound annual growth rate of -6.7% (FY2021 to FY2026).
- The FY2026 figure stands as the lowest annual Operating Expenses since FY2015.
- Business Quant data shows TU's Operating Expenses at $13.01 billion in FY2025 (+3.4%), $12.59 billion in FY2024 (-3.5%), $13.04 billion in FY2023 (+14.5%) and $11.39 billion in FY2022 (+1.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 191.94 Bn | 159.58 Bn | 27.05 Bn | 25.66 Bn |
| 2 | T-Mobile US | 179.71 Bn | 162.14 Bn | 15.13 Bn | 17.92 Bn |
| 3 | At&T | 147.73 Bn | 105.17 Bn | 26.22 Bn | 28.23 Bn |
| 4 | Grupo Televisa, S.A.B | 146.85 Bn | 139.98 Bn | 960.50 Mn | 356.81 Mn |
| 5 | Comcast | 87.61 Bn | 53.57 Bn | - | 23.98 Bn |
| 6 | Chunghwa Telecom | 37.88 Bn | 30.37 Bn | 728.80 Mn | 309.31 Mn |
| 7 | Vodafone Group Public | 37.71 Bn | 5.95 Bn | - | - |
| 8 | EchoStar | 30.28 Bn | 11.36 Bn | 647.20 Mn | 979.86 Mn |
| 9 | Bce | 20.18 Bn | 18.41 Bn | 11.61 Bn | 7.43 Bn |
| 10 | Telus | 13.58 Bn | 6.74 Bn | - | 4.70 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.70 Bn |
| Mar 31, 2026 | 4.48 Bn |
| Dec 31, 2025 | 3.27 Bn |
| Sep 30, 2025 | 4.36 Bn |
| Jun 30, 2025 | 3.54 Bn |
| Mar 31, 2025 | 97.00 Mn |
| Dec 31, 2024 | 3.31 Bn |
| Sep 30, 2024 | 3.16 Bn |
| Jun 30, 2024 | 3.14 Bn |
| Mar 31, 2024 | 3.23 Bn |
| Dec 31, 2023 | 3.33 Bn |
| Sep 30, 2023 | 3.35 Bn |
| Jun 30, 2023 | 3.25 Bn |
| Mar 31, 2023 | 3.23 Bn |
| Dec 31, 2022 | 3.23 Bn |
| Sep 30, 2022 | 2.97 Bn |
| Jun 30, 2022 | 2.85 Bn |
| Mar 31, 2022 | 2.81 Bn |
| Dec 31, 2021 | 3.03 Bn |
| Sep 30, 2021 | 2.83 Bn |
API Access
Telus Operating 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=operating-expenses&ticker=TU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();