Telephone & Data Systems (TDS) Long-Term Investments (2009 - 2026)
Telephone & Data Systems' Long-Term Investments was $475.08 million in Q2 2026, down 3.6% from $492.95 million a year earlier and down 2.3% from the prior quarter.
Telephone & Data Systems (TDS) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2025, Long-Term Investments at Telephone & Data Systems came in at $461.92 million, down 7.7% from FY2024.
- Long-Term Investments shows a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- In earlier years, Long-Term Investments was $500.47 million in FY2024 (-0.9%), $505 million in FY2023 (+2.0%), $495 million in FY2022 (+3.3%) and $479 million in FY2021 (+0.4%).
- Quarterly Long-Term Investments has moved between $461.92 million (Q4 2025) and $526.68 million (Q1 2025) over five years.
- Compared with a year earlier, Long-Term Investments has declined for five straight quarters, with an average decline of 3.3% over the last eight quarters.
- The best year-over-year quarter for Long-Term Investments over five years was Q2 2023 (growth of 3.5%); the worst was Q4 2025 (a decline of 7.7%).
- Per Business Quant data, TDS's Long-Term Investments in the three quarters before Q2 2026 was $486.13 million (Q1 2026), $461.92 million (Q4 2025) and $501 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 191.00 Bn | 155.40 Bn | 27.03 Bn | 783.00 Mn |
| 2 | T-Mobile US | 173.83 Bn | 158.58 Bn | 14.76 Bn | - |
| 3 | At&T | 166.58 Bn | 114.53 Bn | 25.82 Bn | 1.13 Bn |
| 4 | Grupo Televisa, S.A.B | 140.00 Bn | 128.63 Bn | 318.12 Mn | 2.46 Bn |
| 5 | Comcast | 76.75 Bn | 41.00 Bn | - | 7.85 Bn |
| 6 | Chunghwa Telecom | 35.34 Bn | 31.19 Bn | 728.80 Mn | 271.01 Mn |
| 7 | EchoStar | 25.60 Bn | 16.74 Bn | 1.65 Bn | 212.56 Mn |
| 8 | AST SpaceMobile | 22.19 Bn | 22.70 Bn | 7.95 Mn | - |
| 9 | Bce | 18.58 Bn | 16.90 Bn | - | 1.09 Bn |
| 10 | Telephone & Data Systems | 4.05 Bn | -978.21 Mn | 179.96 Mn | 475.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 475.08 Mn |
| Mar 31, 2026 | 486.13 Mn |
| Dec 31, 2025 | 461.92 Mn |
| Sep 30, 2025 | 501.00 Mn |
| Jun 30, 2025 | 492.95 Mn |
| Mar 31, 2025 | 526.68 Mn |
| Dec 31, 2024 | 500.47 Mn |
| Sep 30, 2024 | 524.21 Mn |
| Jun 30, 2024 | 507.00 Mn |
| Mar 31, 2024 | 526.00 Mn |
| Dec 31, 2023 | 505.00 Mn |
| Sep 30, 2023 | 520.00 Mn |
| Jun 30, 2023 | 500.00 Mn |
| Mar 31, 2023 | 519.00 Mn |
| Dec 31, 2022 | 495.00 Mn |
| Sep 30, 2022 | 503.00 Mn |
| Jun 30, 2022 | 483.00 Mn |
| Mar 31, 2022 | 506.00 Mn |
| Dec 31, 2021 | 479.00 Mn |
| Sep 30, 2021 | 509.00 Mn |
Telephone & Data Systems Long-Term Investments 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=long-term-investments&ticker=TDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();