Daily Journal (DJCO) Price to Earnings (2009 - 2026)
Daily Journal's (DJCO) Price to Earnings came in at 21.97 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 265.3% from 6.01 a year earlier.
Daily Journal (DJCO) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Daily Journal's Price to Earnings stood at 5.71, down 33.9% from FY2024.
- In prior fiscal years, Daily Journal's Price to Earnings was 8.64 in FY2024 (-54.2%), 18.87 in FY2023 and 3.92 in FY2021 (-95.3%).
- The fiscal Q3 2026 figure stands as the highest quarterly Price to Earnings since fiscal Q2 2024.
- On a year-over-year basis, Price to Earnings increased in 1 of the last seven quarters, with an average decline of 6.3%.
- The strongest year-over-year quarter for Price to Earnings in the past five years was fiscal Q2 2022, with growth of 474.9%; the weakest was fiscal Q4 2021, with a decline of 95.3%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Skydance | 40.81 Bn | 33.65 Bn | 2.37 Bn |
| 2 | Fox | 28.36 Bn | 14.11 Bn | - |
| 3 | Omnicom | 24.24 Bn | 6.32 Bn | 1.36 Bn |
| 4 | News | 14.40 Bn | 7.03 Bn | - |
| 5 | New York Times | 11.56 Bn | 8.99 Bn | 395.07 Mn |
| 6 | Pearson | 10.96 Bn | 8.09 Bn | - |
| 7 | Sirius Xm Holdings | 10.86 Bn | 10.31 Bn | 1.43 Bn |
| 8 | Nexstar Media | 6.37 Bn | 5.01 Bn | 1.20 Bn |
| 9 | Wpp | 6.05 Bn | -5.75 Bn | - |
| 10 | Daily Journal | 923.77 Mn | -975.46 Mn | 26.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 47.61 |
| Dec 31, 2025 | 7.20 |
| Sep 30, 2025 | 5.71 |
| Jun 30, 2025 | 6.01 |
| Mar 31, 2025 | 5.19 |
| Dec 31, 2024 | 10.66 |
| Sep 30, 2024 | 8.64 |
| Jun 30, 2024 | 11.35 |
| Mar 31, 2024 | 19.76 |
| Dec 31, 2023 | 21.14 |
| Sep 30, 2023 | 16.57 |
| Jun 30, 2023 | 10.68 |
| Mar 31, 2023 | 14.67 |
| Mar 31, 2022 | 21.31 |
| Dec 31, 2021 | 8.14 |
| Sep 30, 2021 | 3.92 |
| Jun 30, 2021 | 3.20 |
| Mar 31, 2021 | 3.71 |
| Dec 31, 2020 | 11.36 |
| Sep 30, 2020 | 82.69 |
Daily Journal 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=DJCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "DJCO", "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=DJCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();