Usa Today (TDAY) Change in Accured Expenses (2013 - 2019)
Usa Today (TDAY) posted Change in Accured Expenses of -$20.48 million for FY2025, compared with -$1.93 million in FY2024.
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Analysis
Usa Today (TDAY) Change in Accured Expenses (2013 - 2019) Analysis & Trends
Since FY2013, Usa Today has reported Change in Accured Expenses for 13 years.
- Annual Change in Accured Expenses has run from a low of -$65.09 million in FY2023 to a high of -$1.93 million in FY2024 over five years.
- Business Quant data shows TDAY's Change in Accured Expenses at -$1.93 million in FY2024, -$65.09 million in FY2023, -$23.65 million in FY2022 and -$33.46 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn | 200.00 Mn |
| 2 | Fox | 28.73 Bn | 14.54 Bn | - | 292.00 Mn |
| 3 | Omnicom | 23.21 Bn | 5.30 Bn | 1.30 Bn | - |
| 4 | News | 17.12 Bn | 8.60 Bn | - | 49.00 Mn |
| 5 | Pearson | 11.91 Bn | 9.02 Bn | - | - |
| 6 | New York Times | 11.26 Bn | 8.74 Bn | 394.61 Mn | 56.83 Mn |
| 7 | Sirius Xm Holdings | 9.30 Bn | 8.88 Bn | 1.44 Bn | 153.00 Mn |
| 8 | Skydance | 7.66 Bn | 5.58 Bn | - | - |
| 9 | Wpp | 5.72 Bn | -6.33 Bn | - | - |
| 10 | Usa Today | 1.01 Bn | 676.67 Mn | 208.25 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 34.57 Mn |
| Sep 29, 2019 | 6.42 Mn |
| Jun 30, 2019 | 9.62 Mn |
| Mar 31, 2019 | -6.29 Mn |
| Dec 30, 2018 | 10.79 Mn |
| Sep 30, 2018 | 1.55 Mn |
| Jul 1, 2018 | 10.73 Mn |
| Apr 1, 2018 | -17.57 Mn |
| Dec 31, 2017 | 9.63 Mn |
| Sep 24, 2017 | 10.63 Mn |
| Jun 25, 2017 | -324,000.00 |
| Mar 26, 2017 | -13.30 Mn |
| Dec 25, 2016 | -2.21 Mn |
| Sep 25, 2016 | 9.18 Mn |
| Jun 26, 2016 | 1.85 Mn |
| Mar 27, 2016 | -30.54 Mn |
| Dec 27, 2015 | 9.28 Mn |
| Sep 27, 2015 | 11.27 Mn |
| Jun 28, 2015 | 3.21 Mn |
| Mar 29, 2015 | 14.05 Mn |
API Access
Usa Today Change in Accured Expenses 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-accured-expenses&ticker=TDAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "TDAY", "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-accured-expenses&ticker=TDAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();