Liberty Latin America (LILA) Interest Expenses (2017 - 2026)
Liberty Latin America (LILA) recorded Interest Expenses of $167.9 million in Q2 2026, up 1.5% from $165.4 million a year earlier and up 2.3% from the prior quarter.
Liberty Latin America (LILA) Interest Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, Liberty Latin America's Interest Expenses came in at $664.8 million as of Jun 30, 2026, up 4.0% year-over-year; for FY2025, it came in at $656.4 million, up 4.6% from FY2024.
- Annual Interest Expenses has increased for four straight years, with a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $627.7 million in FY2024 (+4.3%), $601.7 million in FY2023 (+8.1%), $556.7 million in FY2022 (+5.6%) and $527.4 million in FY2021 (-1.1%).
- Quarterly Interest Expenses has ranged from $129.7 million in Q1 2022 to $168.4 million in Q4 2025 over the past five years.
- On a year-over-year basis, Interest Expenses has increased for 20 consecutive quarters, with growth averaging 3.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Interest Expenses ran from 1.5% in Q2 2026 to 13.0% in Q1 2023.
- Per Business Quant, the preceding three quarters came in at $164.2 million (Q1 2026), $168.4 million (Q4 2025) and $164.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 187.75 Bn | 152.16 Bn | 27.03 Bn | 1.99 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 | 1.98 Bn |
| 4 | Grupo Televisa, S.A.B | 148.71 Bn | 141.01 Bn | 318.12 Mn | -111.57 Mn |
| 5 | Comcast | 80.85 Bn | 46.81 Bn | - | 962.00 Mn |
| 6 | Vodafone Group Public | 39.22 Bn | 12.89 Bn | - | - |
| 7 | Chunghwa Telecom | 37.80 Bn | 30.30 Bn | 728.80 Mn | -3.33 Mn |
| 8 | EchoStar | 24.89 Bn | 16.03 Bn | 1.65 Bn | - |
| 9 | Telefonica Brasil | 20.92 Bn | 14.94 Bn | 1.42 Bn | -141.00 Mn |
| 10 | Liberty Latin America | 1.64 Bn | -674.05 Mn | 873.60 Mn | 167.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 167.90 Mn |
| Mar 31, 2026 | 164.20 Mn |
| Dec 31, 2025 | 168.40 Mn |
| Sep 30, 2025 | 164.30 Mn |
| Jun 30, 2025 | 165.40 Mn |
| Mar 31, 2025 | 158.30 Mn |
| Dec 31, 2024 | 156.40 Mn |
| Sep 30, 2024 | 159.20 Mn |
| Jun 30, 2024 | 156.20 Mn |
| Mar 31, 2024 | 155.90 Mn |
| Dec 31, 2023 | 153.70 Mn |
| Sep 30, 2023 | 152.30 Mn |
| Jun 30, 2023 | 149.10 Mn |
| Mar 31, 2023 | 146.60 Mn |
| Dec 31, 2022 | 140.90 Mn |
| Sep 30, 2022 | 149.20 Mn |
| Jun 30, 2022 | 136.90 Mn |
| Mar 31, 2022 | 129.70 Mn |
| Dec 31, 2021 | 130.20 Mn |
| Sep 30, 2021 | 137.10 Mn |
Liberty Latin America Interest 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=interest-expenses&ticker=LILA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=LILA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();