Lee Enterprises (LEE) Amortization - Intangibles (2010 - 2018)
Lee Enterprises' Amortization - Intangibles came in at $4.3 million for fiscal Q3 2018 (quarter ended Jun 24, 2018), down 31.6% from $6.29 million a year earlier and down 0.8% from the prior quarter.
Lee Enterprises (LEE) Amortization - Intangibles (2010 - 2018) Analysis & Trends
Over the trailing twelve months to Jun 24, 2018, Lee Enterprises reported Amortization - Intangibles of $19.28 million, down 23.7% year-over-year; for FY2017 (ended Sep 24, 2017), it was $25.26 million, down 3.4% from FY2016.
- Amortization - Intangibles has declined in each of the last eight fiscal years, with a five-year compound annual growth rate of -9.5% (FY2012 to FY2017).
- Going back by fiscal year, Amortization - Intangibles was $26.15 million in FY2016 (-3.7%), $27.15 million in FY2015 (-1.6%), $27.59 million in FY2014 (-19.4%) and $34.23 million in FY2013 (-17.9%).
- The five-year range for quarterly Amortization - Intangibles is $4.3 million (fiscal Q1 2018) to $6.92 million (fiscal Q2 2014).
- Year-over-year, Amortization - Intangibles has declined for 15 consecutive quarters, with an average decline of 13.9% over the last eight quarters.
- The fastest year-over-year change in Amortization - Intangibles over five years came in fiscal Q4 2014 (growth of 23.1%), and the weakest in fiscal Q4 2013 (a decline of 42.5%).
- Business Quant data shows LEE's Amortization - Intangibles at $4.33 million (Q2 2018), $4.3 million (Q1 2018) and $6.35 million (Q4 2017) in the three fiscal quarters before Q3 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.62 Bn | 63.29 Bn | 4.10 Bn |
| 2 | Fox | 27.00 Bn | 12.91 Bn | - |
| 3 | Omnicom | 20.21 Bn | 2.90 Bn | 1.30 Bn |
| 4 | News | 15.94 Bn | 8.14 Bn | - |
| 5 | Paramount Skydance | 11.45 Bn | 9.37 Bn | - |
| 6 | New York Times | 10.22 Bn | 7.71 Bn | 394.61 Mn |
| 7 | Pearson | 10.20 Bn | 7.34 Bn | - |
| 8 | Sirius Xm Holdings | 8.72 Bn | 8.30 Bn | 1.44 Bn |
| 9 | 36Kr Holdings | 5.91 Bn | 5.85 Bn | - |
| 10 | Lee Enterprises | 154.93 Mn | 21.89 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 24, 2018 | 4.30 Mn |
| Mar 25, 2018 | 4.33 Mn |
| Dec 24, 2017 | 4.30 Mn |
| Sep 24, 2017 | 6.35 Mn |
| Jun 25, 2017 | 6.29 Mn |
| Mar 26, 2017 | 6.31 Mn |
| Dec 25, 2016 | 6.31 Mn |
| Sep 25, 2016 | 6.37 Mn |
| Jun 26, 2016 | 6.55 Mn |
| Mar 27, 2016 | 6.62 Mn |
| Dec 27, 2015 | 6.62 Mn |
| Sep 27, 2015 | 6.55 Mn |
| Jun 28, 2015 | 6.84 Mn |
| Mar 29, 2015 | 6.88 Mn |
| Dec 28, 2014 | 6.88 Mn |
| Sep 28, 2014 | 6.88 Mn |
| Jun 29, 2014 | 6.90 Mn |
| Mar 30, 2014 | 6.92 Mn |
| Dec 29, 2013 | 6.89 Mn |
| Sep 29, 2013 | 5.59 Mn |
Lee Enterprises Amortization - Intangibles 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=amortization-intangibles&ticker=LEE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "LEE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=LEE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();