Liberty Latin America (LILA) Cash & Equivalents (2016 - 2026)
Liberty Latin America's Cash & Equivalents was $714.1 million in Q2 2026, up 38.8% from $514.4 million a year earlier and up 4.8% from the prior quarter.
Liberty Latin America (LILA) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Liberty Latin America came in at $783.9 million, up 19.8% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $654.3 million in FY2024 (-33.8%), $988.6 million in FY2023 (+26.6%), $781 million in FY2022 (-18.4%) and $956.7 million in FY2021 (+7.0%).
- Quarterly Cash & Equivalents has moved between $514.4 million (Q2 2025) and $1.03 billion (Q2 2022) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for four straight quarters, with growth averaging 2.4% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q2 2026 (growth of 38.8%); the worst was Q3 2021 (a decline of 43.1%).
- Per Business Quant data, LILA's Cash & Equivalents in the three quarters before Q2 2026 was $681.4 million (Q1 2026), $783.9 million (Q4 2025) and $596.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 185.04 Bn | 148.17 Bn | 27.03 Bn | 1.75 Bn |
| 2 | T-Mobile US | 160.13 Bn | 144.88 Bn | 14.76 Bn | 2.83 Bn |
| 3 | Grupo Televisa, S.A.B | 149.22 Bn | 140.95 Bn | 318.12 Mn | 1.70 Bn |
| 4 | At&T | 144.32 Bn | 85.79 Bn | 26.22 Bn | 10.77 Bn |
| 5 | Comcast | 81.01 Bn | 46.81 Bn | - | 7.60 Bn |
| 6 | Vodafone Group Public | 37.82 Bn | 7.21 Bn | - | 10.31 Bn |
| 7 | Chunghwa Telecom | 37.66 Bn | 29.68 Bn | 728.80 Mn | 1.32 Bn |
| 8 | EchoStar | 26.06 Bn | 17.15 Bn | 1.65 Bn | 439.99 Mn |
| 9 | Telefonica Brasil | 20.87 Bn | 14.89 Bn | 1.42 Bn | 1.64 Bn |
| 10 | Liberty Latin America | 1.62 Bn | -1.15 Bn | 873.60 Mn | 714.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 714.10 Mn |
| Mar 31, 2026 | 681.40 Mn |
| Dec 31, 2025 | 783.90 Mn |
| Sep 30, 2025 | 596.70 Mn |
| Jun 30, 2025 | 514.40 Mn |
| Mar 31, 2025 | 575.50 Mn |
| Dec 31, 2024 | 654.30 Mn |
| Sep 30, 2024 | 588.60 Mn |
| Jun 30, 2024 | 598.60 Mn |
| Mar 31, 2024 | 668.50 Mn |
| Dec 31, 2023 | 988.60 Mn |
| Sep 30, 2023 | 571.60 Mn |
| Jun 30, 2023 | 632.90 Mn |
| Mar 31, 2023 | 671.80 Mn |
| Dec 31, 2022 | 781.00 Mn |
| Sep 30, 2022 | 769.20 Mn |
| Jun 30, 2022 | 1.03 Bn |
| Mar 31, 2022 | 856.60 Mn |
| Dec 31, 2021 | 956.70 Mn |
| Sep 30, 2021 | 917.00 Mn |
Liberty Latin America Cash & Equivalents 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=cash-and-equivalents&ticker=LILA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LILA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();