Millicom International Cellular (TIGO) Exchange Rate Effect (2009 - 2025)
Millicom International Cellular (TIGO) reported Exchange Rate Effect of $4 million for Q4 2025, compared with -$4 million a year earlier.
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Analysis
Millicom International Cellular (TIGO) Exchange Rate Effect (2009 - 2025) Analysis & Trends
For FY2025, Millicom International Cellular posted Exchange Rate Effect of -$14 million.
- By year, Exchange Rate Effect came in at -$8 million in FY2024, $6 million in FY2023, -$11 million in FY2022 and -$10 million in FY2021.
- The Q4 2025 figure ranks as the highest quarterly Exchange Rate Effect since Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 192.19 Bn | 159.83 Bn | 27.05 Bn | - |
| 2 | T-Mobile US | 180.63 Bn | 163.07 Bn | 15.13 Bn | - |
| 3 | At&T | 149.48 Bn | 106.93 Bn | 26.22 Bn | - |
| 4 | Grupo Televisa, S.A.B | 138.76 Bn | 131.89 Bn | 960.50 Mn | - |
| 5 | Comcast | 89.06 Bn | 55.02 Bn | - | 10.00 Mn |
| 6 | Chunghwa Telecom | 38.69 Bn | 31.18 Bn | 728.80 Mn | - |
| 7 | Vodafone Group Public | 37.39 Bn | 5.63 Bn | - | - |
| 8 | EchoStar | 29.07 Bn | 10.15 Bn | 647.20 Mn | 1.02 Mn |
| 9 | Bce | 19.98 Bn | 18.22 Bn | 11.61 Bn | - |
| 10 | Millicom International Cellular | 13.41 Bn | 9.01 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.00 Mn |
| Dec 31, 2024 | -4.00 Mn |
| Dec 31, 2021 | -7.46 Mn |
| Dec 31, 2020 | -17.67 Mn |
| Dec 31, 2019 | 8.00 Mn |
| Mar 31, 2019 | 2.00 Mn |
| Dec 31, 2018 | -23.00 Mn |
| Jun 30, 2012 | -6.00 Mn |
| Mar 31, 2012 | 6.00 Mn |
| Dec 31, 2011 | -16.00 Mn |
| Sep 30, 2011 | -13.00 Mn |
| Mar 31, 2011 | 2.00 Mn |
| Dec 31, 2010 | -3.00 Mn |
| Sep 30, 2010 | 7.00 Mn |
| Jun 30, 2010 | -6.00 Mn |
| Mar 31, 2010 | 4.00 Mn |
| Dec 31, 2009 | -3.60 Mn |
| Sep 30, 2009 | 6.36 Mn |
| Jun 30, 2009 | 11.75 Mn |
| Mar 31, 2009 | -13.34 Mn |
API Access
Millicom International Cellular Exchange Rate Effect 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=exchange-rate-effect&ticker=TIGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "TIGO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=exchange-rate-effect&ticker=TIGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();