Telephone & Data Systems (TDS) Restructuring Costs (2013 - 2014)
Telephone & Data Systems (TDS) recorded Restructuring Costs of $2.94 million in Q4 2014, down 92.8% from $40.74 million a year earlier and down 73.3% from the prior quarter.
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Analysis
Telephone & Data Systems (TDS) Restructuring Costs (2013 - 2014) Analysis & Trends
For FY2014, Telephone & Data Systems reported Restructuring Costs of $24.74 million, down 58.4% from FY2013.
- Across earlier years, Restructuring Costs came in at $59.53 million in FY2013 (+372.1%) and $12.61 million in FY2012.
- Quarterly Restructuring Costs has ranged from -$6.25 million in Q2 2014 to $40.74 million in Q4 2013 over the past five years.
- Per Business Quant, the preceding three quarters came in at $11.04 million (Q3 2014), -$6.25 million (Q2 2014) and $37.09 million (Q1 2014).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 185.18 Bn | 148.31 Bn | 27.03 Bn |
| 2 | T-Mobile US | 170.25 Bn | 155.00 Bn | 14.76 Bn |
| 3 | At&T | 162.35 Bn | 94.31 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 149.53 Bn | 141.26 Bn | 318.12 Mn |
| 5 | Comcast | 79.50 Bn | 43.56 Bn | - |
| 6 | Vodafone Group Public | 38.13 Bn | 7.53 Bn | - |
| 7 | Chunghwa Telecom | 36.93 Bn | 28.95 Bn | 728.80 Mn |
| 8 | EchoStar | 25.06 Bn | 16.15 Bn | 1.65 Bn |
| 9 | Telefonica Brasil | 20.65 Bn | 14.67 Bn | 1.42 Bn |
| 10 | Telephone & Data Systems | 3.90 Bn | -1.36 Bn | 179.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | 2.94 Mn |
| Sep 30, 2014 | 11.04 Mn |
| Jun 30, 2014 | -6.25 Mn |
| Mar 31, 2014 | 37.09 Mn |
| Dec 31, 2013 | 40.74 Mn |
| Sep 30, 2013 | 2.18 Mn |
| Jun 30, 2013 | 13.71 Mn |
| Mar 31, 2013 | 3.05 Mn |
API Access
Telephone & Data Systems Restructuring Costs 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=restructuring-costs&ticker=TDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();