New York Times (NYT) Change in Inventory (2009 - 2015)
New York Times' (NYT) quarterly Change in Inventory came in at -$1.3 million in Q2 2015, up 12.61% year-over-year from -$1.2 million in Q2 2014, and down 154.84% quarter-over-quarter from $2.4 million in Q1 2015.
New York Times (NYT) Change in Inventory (2009 - 2015) Analysis & Trends
New York Times has disclosed Change in Inventory across 7 years of filings, most recently posting -$1.3 million for Q2 2015.
- In Q2 2015, Change in Inventory rose 12.61% year-over-year to -$1.3 million; the TTM figure through Jun 2015 stood at $1.0 million (up 28.5% YoY), while the FY2014 annual figure was $811000.0, up 560.8% from the prior year.
- Change in Inventory came in at -$1.3 million for Q2 2015 at New York Times, down from $2.4 million in the prior quarter.
- In the past five years, Change in Inventory ranged from a high of $4.5 million in Q1 2011 to a low of -$5.1 million in Q2 2011.
- Average Change in Inventory over 5 years is -$62437.5, with a median of $401000.0 recorded in 2013.
- Year-over-year, Change in Inventory tumbled 432.57% in 2011 and surged 144.25% in 2013.
- Over 5 years, Change in Inventory stood at $2.1 million in 2011, then sank by 268.76% to -$3.5 million in 2012, then soared by 93.36% to -$232000.0 in 2013, then slumped by 559.48% to -$1.5 million in 2014, then increased by 12.61% to -$1.3 million in 2015.
- Per Business Quant data, the three most recent Change in Inventory figures were -$1.3 million in Q2 2015, $2.4 million in Q1 2015, and -$1.5 million in Q2 2014.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.15 Bn | 74.93 Bn | 4.10 Bn | - |
| 2 | Fox | 24.55 Bn | 20.44 Bn | - | - |
| 3 | Omnicom | 20.71 Bn | 17.98 Bn | 1.30 Bn | - |
| 4 | News | 17.37 Bn | 15.99 Bn | - | -1.00 Mn |
| 5 | Paramount Skydance | 11.04 Bn | 8.96 Bn | -2.08 Bn | - |
| 6 | Pearson | 10.10 Bn | 9.51 Bn | 1.17 Bn | -1.33 Mn |
| 7 | New York Times | 9.93 Bn | 9.27 Bn | 394.61 Mn | - |
| 8 | Sirius Xm Holdings | 8.86 Bn | 8.68 Bn | 1.44 Bn | - |
| 9 | 36Kr Holdings | 6.17 Bn | 6.15 Bn | - | - |
| 10 | Wpp | 5.43 Bn | 2.51 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2015 | -1.34 Mn |
| Mar 29, 2015 | 2.44 Mn |
| Jun 29, 2014 | -1.53 Mn |
| Mar 30, 2014 | 1.46 Mn |
| Dec 29, 2013 | -232,000.00 |
| Sep 29, 2013 | 1.11 Mn |
| Jun 30, 2013 | -2.08 Mn |
| Mar 31, 2013 | 1.03 Mn |
| Dec 30, 2012 | -3.50 Mn |
| Sep 23, 2012 | -2.50 Mn |
| Jun 24, 2012 | -3.38 Mn |
| Mar 25, 2012 | 2.57 Mn |
| Dec 25, 2011 | 2.07 Mn |
| Sep 25, 2011 | 3.58 Mn |
| Jun 26, 2011 | -5.15 Mn |
| Mar 27, 2011 | 4.45 Mn |
| Dec 26, 2010 | -5.66 Mn |
| Sep 26, 2010 | 3.65 Mn |
| Jun 27, 2010 | -967,000.00 |
| Mar 28, 2010 | 2.80 Mn |
New York Times Change in 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=change-in-inventory&ticker=NYT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "NYT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-inventory&ticker=NYT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();