Liberty Latin America (LILA) Operating Expenses (2017 - 2026)
Liberty Latin America (LILA) reported Operating Expenses of $921.4 million for Q2 2026, down 35.1% from $1.42 billion a year earlier and down 1.7% from the prior quarter.
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Analysis
Liberty Latin America (LILA) Operating Expenses (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Liberty Latin America's Operating Expenses came in at $3.82 billion, down 21.8% year-over-year; for FY2025, it was $4.33 billion, down 4.2% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $4.52 billion in FY2024 (+13.3%), $3.99 billion in FY2023 (-15.4%), $4.72 billion in FY2022 (-0.5%) and $4.75 billion in FY2021 (+28.5%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q3 2020.
- Year over year, Operating Expenses has now declined in each of the last four quarters, with growth averaging 1.6% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 67.0%); the low point was Q4 2022 (a decline of 38.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $937.6 million (Q1 2026), $1.03 billion (Q4 2025) and $925 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 182.00 Bn | 145.12 Bn | 27.03 Bn | 27.07 Bn |
| 2 | T-Mobile US | 166.59 Bn | 151.34 Bn | 14.76 Bn | 17.30 Bn |
| 3 | At&T | 152.55 Bn | 84.51 Bn | 25.82 Bn | 24.52 Bn |
| 4 | Grupo Televisa, S.A.B | 148.28 Bn | 140.01 Bn | 318.12 Mn | -115.06 Mn |
| 5 | Comcast | 78.71 Bn | 42.78 Bn | - | 24.78 Bn |
| 6 | Vodafone Group Public | 38.12 Bn | 7.51 Bn | - | -125.27 Mn |
| 7 | Chunghwa Telecom | 36.87 Bn | 28.88 Bn | 728.80 Mn | 309.31 Mn |
| 8 | EchoStar | 26.90 Bn | 17.99 Bn | 1.65 Bn | 3.06 Bn |
| 9 | Telefonica Brasil | 20.87 Bn | 14.89 Bn | 1.42 Bn | -904.61 Mn |
| 10 | Liberty Latin America | 1.61 Bn | -1.17 Bn | 873.60 Mn | 921.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 921.40 Mn |
| Mar 31, 2026 | 937.60 Mn |
| Dec 31, 2025 | 1.03 Bn |
| Sep 30, 2025 | 925.00 Mn |
| Jun 30, 2025 | 1.42 Bn |
| Mar 31, 2025 | 955.40 Mn |
| Dec 31, 2024 | 1.04 Bn |
| Sep 30, 2024 | 1.47 Bn |
| Jun 30, 2024 | 1.01 Bn |
| Mar 31, 2024 | 1.01 Bn |
| Dec 31, 2023 | 1.05 Bn |
| Sep 30, 2023 | 963.10 Mn |
| Jun 30, 2023 | 984.80 Mn |
| Mar 31, 2023 | 994.90 Mn |
| Dec 31, 2022 | 1.05 Bn |
| Sep 30, 2022 | 1.07 Bn |
| Jun 30, 2022 | 1.57 Bn |
| Mar 31, 2022 | 1.03 Bn |
| Dec 31, 2021 | 1.70 Bn |
| Sep 30, 2021 | 1.06 Bn |
API Access
Liberty Latin America 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=LILA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LILA", "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=LILA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();