Ennis, Inc. (EBF) Pension (2011 - 2023)
Ennis' Pension came in at $646,000 for Q3 2024, down 82.7% from $3.73 million a year earlier and unchanged from the prior quarter.
Analysis
Ennis, Inc. (EBF) Pension (2011 - 2023) Analysis & Trends
Going back to Q4 2011, Ennis' Pension data covers 35 quarters.
- Pension has declined in each of the last three years, with a five-year compound annual growth rate of -2.5% (FY2018 to FY2023).
- Going back by year, Pension was $5.73 million in FY2022 (-9.0%), $6.3 million in FY2021 (-29.5%) and $8.94 million in FY2020.
- The five-year range for quarterly Pension is $646,000 (Q4 2023) to $8.94 million (Q3 2021).
- Year-over-year, Pension has declined for 12 consecutive quarters, with an average decline of 50.7% over the last eight quarters.
- Over the past five years, the year-over-year decline in Pension ranged from 9.0% (Q4 2022) to 88.7% (Q4 2023).
- Business Quant data shows EBF's Pension at $646,000 (Q2 2024), $646,000 (Q1 2024) and $646,000 (Q4 2023) in the three quarters before Q3 2024.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2023 | 646,000.00 |
| Aug 31, 2023 | 646,000.00 |
| May 31, 2023 | 646,000.00 |
| Feb 28, 2023 | 646,000.00 |
| Nov 30, 2022 | 3.73 Mn |
| Aug 31, 2022 | 5.73 Mn |
| May 31, 2022 | 5.73 Mn |
| Feb 28, 2022 | 5.73 Mn |
| Nov 30, 2021 | 5.30 Mn |
| Aug 31, 2021 | 6.30 Mn |
| May 31, 2021 | 6.30 Mn |
| Feb 28, 2021 | 6.30 Mn |
| Nov 30, 2020 | 8.94 Mn |
| Aug 31, 2020 | 8.94 Mn |
| May 31, 2020 | 8.94 Mn |
| Feb 29, 2020 | 8.94 Mn |
| Nov 30, 2018 | 735,000.00 |
| Aug 31, 2018 | 735,000.00 |
| May 31, 2018 | 735,000.00 |
| Feb 28, 2018 | 735,000.00 |
API Access
Ennis, Inc. Pension 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=pension&ticker=EBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=EBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();