Telephone & Data Systems (TDS) Inventory (2009 - 2026)
Telephone & Data Systems (TDS) reported Inventory of $3.78 million for Q2 2026, down 97.1% from $130 million a year earlier but up 0.8% from the prior quarter.
Telephone & Data Systems (TDS) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Telephone & Data Systems posted Inventory of $4.06 million, up 0.2% from FY2024.
- Inventory has a five-year compound annual growth rate of -51.7% (FY2020 to FY2025).
- By year, Inventory came in at $4.05 million in FY2024 (-98.1%), $208 million in FY2023 (-22.4%), $268 million in FY2022 (+50.6%) and $178 million in FY2021 (+15.6%).
- Five-year quarterly Inventory spans a low of $3.75 million in Q1 2026 and a high of $269 million in Q1 2023.
- Year over year, Inventory gained in 1 of the last eight quarters, with an average decline of 51.4%.
- The high point for year-over-year Inventory in five years was Q3 2022 (growth of 77.5%); the low point was Q4 2024 (a decline of 98.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.75 million (Q1 2026), $4.06 million (Q4 2025) and $4.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 193.94 Bn | 158.35 Bn | 27.03 Bn | 2.04 Bn |
| 2 | T-Mobile US | 178.90 Bn | 163.65 Bn | 14.76 Bn | 2.19 Bn |
| 3 | At&T | 170.76 Bn | 118.71 Bn | 25.82 Bn | 2.37 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | 31.41 Mn |
| 5 | Comcast | 77.07 Bn | 41.32 Bn | - | - |
| 6 | Chunghwa Telecom | 35.67 Bn | 31.52 Bn | 728.80 Mn | 556.87 Mn |
| 7 | EchoStar | 25.89 Bn | 17.02 Bn | 1.65 Bn | 322.39 Mn |
| 8 | AST SpaceMobile | 23.74 Bn | 24.24 Bn | 7.95 Mn | 28.42 Mn |
| 9 | Bce | 19.19 Bn | 17.52 Bn | - | 324.59 Mn |
| 10 | Telephone & Data Systems | 4.00 Bn | -1.03 Bn | 179.96 Mn | 3.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.78 Mn |
| Mar 31, 2026 | 3.75 Mn |
| Dec 31, 2025 | 4.06 Mn |
| Sep 30, 2025 | 4.04 Mn |
| Jun 30, 2025 | 130.00 Mn |
| Mar 31, 2025 | 182.00 Mn |
| Dec 31, 2024 | 4.05 Mn |
| Sep 30, 2024 | 167.00 Mn |
| Jun 30, 2024 | 148.00 Mn |
| Mar 31, 2024 | 184.00 Mn |
| Dec 31, 2023 | 208.00 Mn |
| Sep 30, 2023 | 181.00 Mn |
| Jun 30, 2023 | 216.00 Mn |
| Mar 31, 2023 | 269.00 Mn |
| Dec 31, 2022 | 268.00 Mn |
| Sep 30, 2022 | 252.00 Mn |
| Jun 30, 2022 | 213.00 Mn |
| Mar 31, 2022 | 184.00 Mn |
| Dec 31, 2021 | 178.00 Mn |
| Sep 30, 2021 | 142.00 Mn |
Telephone & Data Systems Inventory 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=inventory&ticker=TDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();