Daily Journal Corp (DJCO) EV to EBITDA (2011 - 2025)
Daily Journal's EV to EBITDA was 18.24 in fiscal Q1 2026 (quarter ended Dec 31, 2025), down 79.4% from 88.67 a year earlier but up 40.4% from the prior quarter.
Daily Journal Corp (DJCO) EV to EBITDA (2011 - 2025) Analysis & Trends
On a trailing twelve-month basis, Daily Journal's EV to EBITDA was -130.88 through Dec 31, 2025; for FY2025 (ended Sep 30, 2025), it was 12.99, down 81.4% from FY2024.
- In earlier fiscal years, EV to EBITDA was 69.91 in FY2024 (+499.1%), 11.67 in FY2023 (-56.9%), 27.07 in FY2022 (-13.3%) and 31.22 in FY2021.
- Quarterly EV to EBITDA has moved between 8.62 (fiscal Q3 2023) and 88.67 (fiscal Q1 2025) over five years.
- Compared with a year earlier, EV to EBITDA has declined for four straight quarters, with growth averaging 128.4% over the last eight quarters.
- The best year-over-year quarter for EV to EBITDA over five years was fiscal Q4 2024 (growth of 499.1%); the worst was fiscal Q1 2022 (a decline of 95.8%).
- Per Business Quant data, DJCO's EV to EBITDA in the three fiscal quarters before Q1 2026 was 12.99 (Q4 2025), 17.34 (Q3 2025) and 21.85 (Q2 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 18.24 |
| Sep 30, 2025 | 12.99 |
| Jun 30, 2025 | 17.34 |
| Mar 31, 2025 | 21.85 |
| Dec 31, 2024 | 88.67 |
| Sep 30, 2024 | 69.91 |
| Jun 30, 2024 | 34.46 |
| Mar 31, 2024 | 26.20 |
| Dec 31, 2023 | 16.59 |
| Sep 30, 2023 | 11.67 |
| Jun 30, 2023 | 8.62 |
| Mar 31, 2023 | 21.65 |
| Dec 31, 2022 | 14.81 |
| Sep 30, 2022 | 27.07 |
| Mar 31, 2022 | 34.32 |
| Dec 31, 2021 | 28.23 |
| Sep 30, 2021 | 31.22 |
| Jun 30, 2021 | 30.65 |
| Mar 31, 2021 | 48.52 |
| Dec 31, 2020 | 667.33 |
Daily Journal Corp EV to EBITDA 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=ev-to-ebitda&ticker=DJCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=DJCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();