Daily Journal (DJCO) Change in Accured Expenses (2010 - 2025)
Daily Journal (DJCO) reported Change in Accured Expenses of -$7.6 million for fiscal Q1 2026 (quarter ended Dec 31, 2025), compared with -$2.8 million a year earlier.
Daily Journal (DJCO) Change in Accured Expenses (2010 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, Daily Journal's Change in Accured Expenses came in at $1.15 million, up 13.7% year-over-year; for FY2025 (ended Sep 30, 2025), it was $5.95 million.
- Change in Accured Expenses has a five-year compound annual growth rate of 45.3% (FY2020 to FY2025).
- By fiscal year, Change in Accured Expenses came in at -$190,000 in FY2024, $1.65 million in FY2023 (-24.2%), $2.18 million in FY2022 (-24.9%) and $2.9 million in FY2021 (+216.2%).
- The fiscal Q1 2026 figure ranks as the lowest quarterly Change in Accured Expenses in data going back to fiscal Q4 2010.
- Year over year, Change in Accured Expenses gained in four of the last six quarters, with growth averaging 68.2%.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q2 2021 (growth of 761.7%); the low point was fiscal Q3 2023 (a decline of 77.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2026 came in at $5.08 million (Q4 2025), $3.41 million (Q3 2025) and $261,000 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.60 Bn | 63.26 Bn | 4.10 Bn | 200.00 Mn |
| 2 | Fox | 26.84 Bn | 12.75 Bn | - | 292.00 Mn |
| 3 | Omnicom | 20.35 Bn | 3.05 Bn | 1.30 Bn | - |
| 4 | News | 15.97 Bn | 8.16 Bn | - | 49.00 Mn |
| 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 | 56.83 Mn |
| 8 | Sirius Xm Holdings | 8.67 Bn | 8.25 Bn | 1.44 Bn | 153.00 Mn |
| 9 | 36Kr Holdings | 5.97 Bn | 5.91 Bn | - | - |
| 10 | Daily Journal | 904.41 Mn | -1.01 Bn | 26.82 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -7.60 Mn |
| Sep 30, 2025 | 5.08 Mn |
| Jun 30, 2025 | 3.41 Mn |
| Mar 31, 2025 | 261,000.00 |
| Dec 31, 2024 | -2.80 Mn |
| Sep 30, 2024 | 1.85 Mn |
| Jun 30, 2024 | 1.24 Mn |
| Mar 31, 2024 | 724,000.00 |
| Dec 31, 2023 | -4.00 Mn |
| Sep 30, 2023 | 4.03 Mn |
| Jun 30, 2023 | 615,000.00 |
| Mar 31, 2023 | 410,000.00 |
| Dec 31, 2022 | -3.41 Mn |
| Sep 30, 2022 | 2.97 Mn |
| Jun 30, 2022 | 2.79 Mn |
| Mar 31, 2022 | -1.17 Mn |
| Dec 31, 2021 | -2.42 Mn |
| Sep 30, 2021 | 820,000.00 |
| Jun 30, 2021 | 1.09 Mn |
| Mar 31, 2021 | 2.32 Mn |
Daily Journal 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=DJCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=DJCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();