Lumen Technologies (LUMN) Operating Expenses (2009 - 2026)
Lumen Technologies' Operating Expenses came in at $2.89 billion for Q2 2026, down 21.7% from $3.7 billion a year earlier but up 25.9% from the prior quarter.
Lumen Technologies (LUMN) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Lumen Technologies reported Operating Expenses of $11.63 billion, down 10.8% year-over-year; for FY2025, it came in at $13.21 billion, up 4.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -7.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $12.65 billion in FY2024 (-47.6%), $24.14 billion in FY2023 (+38.9%), $17.38 billion in FY2022 (+12.9%) and $15.4 billion in FY2021 (-22.0%).
- The five-year range for quarterly Operating Expenses is $2.3 billion (Q1 2026) to $12.08 billion (Q2 2023).
- Year-over-year, Operating Expenses increased in three of the last eight quarters, with an average decline of 9.8%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2023 (growth of 226.5%), and the weakest in Q2 2024 (a decline of 74.1%).
- Business Quant data shows LUMN's Operating Expenses at $2.3 billion (Q1 2026), $3.24 billion (Q4 2025) and $3.2 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | 27.07 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | 17.30 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | 24.52 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | -117.85 Mn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | 24.78 Bn |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | 309.31 Mn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | 3.06 Bn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | 329.10 Mn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | -2.51 Bn |
| 10 | Lumen Technologies | 5.77 Bn | -1.14 Bn | 1.39 Bn | 2.89 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.89 Bn |
| Mar 31, 2026 | 2.30 Bn |
| Dec 31, 2025 | 3.24 Bn |
| Sep 30, 2025 | 3.20 Bn |
| Jun 30, 2025 | 3.70 Bn |
| Mar 31, 2025 | 3.08 Bn |
| Dec 31, 2024 | 3.18 Bn |
| Sep 30, 2024 | 3.10 Bn |
| Jun 30, 2024 | 3.13 Bn |
| Mar 31, 2024 | 3.25 Bn |
| Dec 31, 2023 | 5.29 Bn |
| Sep 30, 2023 | 3.42 Bn |
| Jun 30, 2023 | 12.08 Bn |
| Mar 31, 2023 | 3.35 Bn |
| Dec 31, 2022 | 7.08 Bn |
| Sep 30, 2022 | 3.01 Bn |
| Jun 30, 2022 | 3.70 Bn |
| Mar 31, 2022 | 3.59 Bn |
| Dec 31, 2021 | 3.69 Bn |
| Sep 30, 2021 | 3.76 Bn |
Lumen Technologies 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=LUMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LUMN", "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=LUMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();