Apogee Enterprises (APOG) Accumulated Expenses (2011 - 2019)
Apogee Enterprises' Accumulated Expenses came in at $9.54 million for fiscal Q4 2019 (quarter ended Mar 2, 2019), down 12.8% from $10.93 million a year earlier but up 18.3% from the prior quarter.
Apogee Enterprises (APOG) Accumulated Expenses (2011 - 2019) Analysis & Trends
Going back to fiscal Q4 2011, Apogee Enterprises' Accumulated Expenses data covers 32 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of 7.4% (FY2014 to FY2019).
- Going back by fiscal year, Accumulated Expenses was $10.93 million in FY2018 (+27.5%), $8.58 million in FY2017 (+9.7%), $7.82 million in FY2016 (-3.0%) and $8.06 million in FY2015 (+20.6%).
- The five-year range for quarterly Accumulated Expenses is $5.05 million (fiscal Q1 2019) to $10.93 million (fiscal Q4 2018).
- Year-over-year, Accumulated Expenses has declined for four consecutive quarters, with an average decline of 3.7% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q3 2017 (growth of 57.1%), and the weakest in fiscal Q2 2019 (a decline of 20.6%).
- Business Quant data shows APOG's Accumulated Expenses at $8.06 million (Q3 2019), $6.72 million (Q2 2019) and $5.05 million (Q1 2019) in the three fiscal quarters before Q4 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn |
| 10 | Apogee Enterprises | 744.99 Mn | 598.20 Mn | 75.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 2, 2019 | 9.54 Mn |
| Dec 1, 2018 | 8.06 Mn |
| Sep 1, 2018 | 6.72 Mn |
| Jun 2, 2018 | 5.05 Mn |
| Mar 3, 2018 | 10.93 Mn |
| Dec 2, 2017 | 8.83 Mn |
| Sep 2, 2017 | 8.46 Mn |
| Jun 3, 2017 | 5.90 Mn |
| Mar 4, 2017 | 8.58 Mn |
| Nov 26, 2016 | 8.58 Mn |
| Aug 27, 2016 | 8.40 Mn |
| May 28, 2016 | 6.18 Mn |
| Feb 27, 2016 | 7.82 Mn |
| Nov 28, 2015 | 5.46 Mn |
| Aug 29, 2015 | 7.51 Mn |
| May 30, 2015 | 6.20 Mn |
| Feb 28, 2015 | 8.06 Mn |
| Nov 29, 2014 | 6.87 Mn |
| Aug 30, 2014 | 8.05 Mn |
| May 31, 2014 | 6.78 Mn |
Apogee Enterprises 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=APOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "APOG", "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=APOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();