Ennis (EBF) Operating Expenses (2010 - 2026)
Ennis' Operating Expenses came in at $17.02 million for Q2 2027, down 4.7% from $17.85 million a year earlier and down 3.4% from the prior quarter.
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Analysis
Ennis (EBF) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Ennis reported Operating Expenses of $67.94 million, up 1.6% year-over-year; for FY2026, it was $68.23 million, up 3.5% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 0.0% (FY2021 to FY2026).
- Going back by year, Operating Expenses was $65.95 million in FY2025 (-5.1%), $69.5 million in FY2024 (-2.6%), $71.39 million in FY2023 (unchanged) and $71.41 million in FY2022 (+4.6%).
- The five-year range for quarterly Operating Expenses is $14.74 million (Q4 2024) to $18.34 million (Q1 2024).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 1.5%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2026 (growth of 6.9%), and the weakest in Q4 2024 (a decline of 17.6%).
- Business Quant data shows EBF's Operating Expenses at $17.61 million (Q1 2027), $16.19 million (Q4 2026) and $17.12 million (Q3 2026) in the three quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn | 8.48 Bn |
| 2 | Fox | 28.41 Bn | 14.21 Bn | - | 2.38 Bn |
| 3 | Omnicom | 22.53 Bn | 4.62 Bn | 1.30 Bn | 5.64 Bn |
| 4 | News | 16.96 Bn | 8.44 Bn | - | 991.00 Mn |
| 5 | Pearson | 11.84 Bn | 8.95 Bn | - | - |
| 6 | New York Times | 11.16 Bn | 8.64 Bn | 394.61 Mn | 644.44 Mn |
| 7 | Sirius Xm Holdings | 9.11 Bn | 8.68 Bn | 1.44 Bn | 1.69 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 | 17.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 17.02 Mn |
| May 31, 2026 | 17.61 Mn |
| Feb 28, 2026 | 16.19 Mn |
| Nov 30, 2025 | 17.12 Mn |
| Aug 31, 2025 | 17.85 Mn |
| May 31, 2025 | 17.08 Mn |
| Feb 28, 2025 | 15.44 Mn |
| Nov 30, 2024 | 16.48 Mn |
| Aug 31, 2024 | 16.70 Mn |
| May 31, 2024 | 17.33 Mn |
| Feb 29, 2024 | 14.74 Mn |
| Nov 30, 2023 | 17.41 Mn |
| Aug 31, 2023 | 18.34 Mn |
| May 31, 2023 | 18.34 Mn |
| Feb 28, 2023 | 17.88 Mn |
| Nov 30, 2022 | 17.29 Mn |
| Aug 31, 2022 | 17.94 Mn |
| May 31, 2022 | 17.68 Mn |
| Feb 28, 2022 | 16.89 Mn |
| Nov 30, 2021 | 17.51 Mn |
API Access
Ennis Operating 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=operating-expenses&ticker=EBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=EBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();