Usa Today (TDAY) Price to Earnings (2015 - 2026)
Usa Today's (TDAY) Price to Earnings stood at 35.70 in Q1 2026, up 330.2% from 8.30 a year earlier but down 91.8% from the prior quarter.
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Analysis
Usa Today (TDAY) Price to Earnings (2015 - 2026) Analysis & Trends
For FY2025, Usa Today's Price to Earnings came in at 433.21.
- Quarterly Price to Earnings has ranged from 4.54 in Q2 2025 to 433.21 in Q4 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at 433.21 (Q4 2025), 6.32 (Q3 2025) and 4.54 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.60 Bn | 63.26 Bn | 4.10 Bn |
| 2 | Fox | 26.84 Bn | 12.75 Bn | - |
| 3 | Omnicom | 20.35 Bn | 3.05 Bn | 1.30 Bn |
| 4 | News | 15.97 Bn | 8.16 Bn | - |
| 5 | Paramount Skydance | 10.53 Bn | 8.45 Bn | - |
| 6 | Pearson | 10.25 Bn | 7.39 Bn | - |
| 7 | New York Times | 10.06 Bn | 7.55 Bn | 394.61 Mn |
| 8 | Sirius Xm Holdings | 8.67 Bn | 8.25 Bn | 1.44 Bn |
| 9 | 36Kr Holdings | 5.97 Bn | 5.91 Bn | - |
| 10 | Usa Today | 1.04 Bn | 697.29 Mn | 208.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 35.70 |
| Dec 31, 2025 | 433.21 |
| Sep 30, 2025 | 6.32 |
| Jun 30, 2025 | 4.54 |
| Mar 31, 2025 | 8.30 |
| Sep 30, 2023 | 13.10 |
| Mar 31, 2022 | 151.97 |
| Jun 30, 2019 | 661.58 |
| Mar 31, 2019 | 65.16 |
| Dec 30, 2018 | 38.02 |
| Sep 30, 2018 | 30.16 |
| Jul 1, 2018 | 31.39 |
| Apr 1, 2018 | 434.74 |
| Mar 26, 2017 | 33.40 |
| Dec 25, 2016 | 26.97 |
| Sep 25, 2016 | 9.91 |
| Jun 26, 2016 | 10.27 |
| Mar 27, 2016 | 9.22 |
| Dec 27, 2015 | 13.05 |
| Sep 27, 2015 | 29.54 |
API Access
Usa Today Price to Earnings 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=price-to-earnings&ticker=TDAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=TDAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();