Telephone & Data Systems (TDS) EBITDA (2009 - 2026)
Telephone & Data Systems (TDS) recorded EBITDA of $461.99 million in Q2 2026, up 526.7% from $73.72 million a year earlier and up 101.1% from the prior quarter.
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Analysis
Telephone & Data Systems (TDS) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Telephone & Data Systems' EBITDA came in at $822.14 million as of Jun 30, 2026, up 423.8% year-over-year; for FY2025, it came in at $254.5 million, up 89.3% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of -26.3% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $134.44 million in FY2024, -$372.5 million in FY2023, $1.05 billion in FY2022 (-9.1%) and $1.16 billion in FY2021 (-1.0%).
- The Q2 2026 figure is the highest quarterly EBITDA since Q1 2015.
- On a year-over-year basis, EBITDA has increased for three consecutive quarters, with growth averaging 146.3% over the last five quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 526.7% in Q2 2026, against a decline of 83.3% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $229.76 million (Q1 2026), $106.62 million (Q4 2025) and $23.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 183.89 Bn | 147.02 Bn | 27.03 Bn | 12.19 Bn |
| 2 | T-Mobile US | 168.85 Bn | 153.60 Bn | 14.76 Bn | 8.92 Bn |
| 3 | At&T | 161.17 Bn | 93.13 Bn | 25.82 Bn | 12.00 Bn |
| 4 | Grupo Televisa, S.A.B | 153.29 Bn | 145.03 Bn | 318.12 Mn | 90.33 Mn |
| 5 | Comcast | 78.05 Bn | 42.12 Bn | - | 8.85 Bn |
| 6 | Vodafone Group Public | 38.16 Bn | 7.56 Bn | - | - |
| 7 | Chunghwa Telecom | 36.97 Bn | 28.98 Bn | 728.80 Mn | - |
| 8 | EchoStar | 25.03 Bn | 16.12 Bn | 1.65 Bn | 683.48 Mn |
| 9 | Telefonica Brasil | 20.37 Bn | 14.39 Bn | 1.42 Bn | 1.30 Bn |
| 10 | Telephone & Data Systems | 3.79 Bn | -1.47 Bn | 179.96 Mn | 461.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 461.99 Mn |
| Mar 31, 2026 | 229.76 Mn |
| Dec 31, 2025 | 106.62 Mn |
| Sep 30, 2025 | 23.77 Mn |
| Jun 30, 2025 | 73.72 Mn |
| Mar 31, 2025 | 50.40 Mn |
| Dec 31, 2024 | 101.70 Mn |
| Sep 30, 2024 | -68.85 Mn |
| Jun 30, 2024 | 272.00 Mn |
| Mar 31, 2024 | 301.00 Mn |
| Dec 31, 2023 | -1.16 Bn |
| Sep 30, 2023 | 273.00 Mn |
| Jun 30, 2023 | 258.00 Mn |
| Mar 31, 2023 | 261.00 Mn |
| Dec 31, 2022 | 213.00 Mn |
| Sep 30, 2022 | 223.00 Mn |
| Jun 30, 2022 | 292.00 Mn |
| Mar 31, 2022 | 324.00 Mn |
| Dec 31, 2021 | 249.00 Mn |
| Sep 30, 2021 | 282.00 Mn |
API Access
Telephone & Data Systems EBITDA 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=ebitda&ticker=TDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "TDS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();