Ennis (EBF) Accumulated Expenses (2018 - 2026)
Ennis (EBF) posted Accumulated Expenses of $20.03 million for Q2 2027, up 16.0% from $17.26 million a year earlier but down 7.4% from the prior quarter.
Ennis (EBF) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2026, Ennis' Accumulated Expenses came in at $16.85 million, up 9.8% from FY2025.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 2.4% (FY2021 to FY2026).
- In prior years, Ennis' Accumulated Expenses was $15.34 million in FY2025 (-12.6%), $17.54 million in FY2024 (-2.9%), $18.07 million in FY2023 (+17.2%) and $15.42 million in FY2022 (+3.1%).
- Quarterly Accumulated Expenses has run from a low of $15.34 million in Q4 2025 to a high of $21.63 million in Q1 2027 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last six quarters, with growth averaging 5.6% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2023, with growth of 19.4%; the weakest was Q3 2025, with a decline of 16.3%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $21.63 million (Q1 2027), $16.85 million (Q4 2026) and $17.54 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn |
| 2 | Fox | 28.41 Bn | 14.21 Bn | - |
| 3 | Omnicom | 22.53 Bn | 4.62 Bn | 1.30 Bn |
| 4 | News | 16.96 Bn | 8.44 Bn | - |
| 5 | Pearson | 11.84 Bn | 8.95 Bn | - |
| 6 | New York Times | 11.16 Bn | 8.64 Bn | 394.61 Mn |
| 7 | Sirius Xm Holdings | 9.11 Bn | 8.68 Bn | 1.44 Bn |
| 8 | Skydance | 7.66 Bn | 5.58 Bn | - |
| 9 | Wpp | 5.68 Bn | -6.36 Bn | - |
| 10 | Ennis | 569.93 Mn | 400.99 Mn | 30.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 20.03 Mn |
| May 31, 2026 | 21.63 Mn |
| Feb 28, 2026 | 16.85 Mn |
| Nov 30, 2025 | 17.54 Mn |
| Aug 31, 2025 | 17.26 Mn |
| May 31, 2025 | 18.39 Mn |
| Feb 28, 2025 | 15.34 Mn |
| Nov 30, 2024 | 15.58 Mn |
| Aug 31, 2024 | 15.66 Mn |
| May 31, 2024 | 17.18 Mn |
| Feb 29, 2024 | 17.54 Mn |
| Nov 30, 2023 | 18.62 Mn |
| Aug 31, 2023 | 17.66 Mn |
| May 31, 2023 | 19.20 Mn |
| Feb 28, 2023 | 18.07 Mn |
| Nov 30, 2022 | 19.12 Mn |
| Aug 31, 2022 | 19.13 Mn |
| May 31, 2022 | 19.87 Mn |
| Feb 28, 2022 | 15.42 Mn |
| Nov 30, 2021 | 16.71 Mn |
Ennis Accumulated 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=accumulated-expenses&ticker=EBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "EBF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=EBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();