Spire (SR) Accumulated Expenses (2011 - 2019)
Spire's Accumulated Expenses came in at $28.7 million for fiscal Q3 2019 (quarter ended Jun 30, 2019), up 3.2% from $27.8 million a year earlier and up 51.9% from the prior quarter.
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Analysis
Spire (SR) Accumulated Expenses (2011 - 2019) Analysis & Trends
At the end of FY2018 (ended Sep 30, 2018), Spire's Accumulated Expenses was $15.2 million, up 4.1% from FY2017.
- Accumulated Expenses carries a five-year compound annual growth rate of 12.9% (FY2013 to FY2018).
- Going back by fiscal year, Accumulated Expenses was $14.6 million in FY2017 (-1.4%), $14.8 million in FY2016 (+3.5%), $14.3 million in FY2015 (-5.3%) and $15.1 million in FY2014 (+81.9%).
- The fiscal Q3 2019 figure represents the highest quarterly Accumulated Expenses in data going back to fiscal Q3 2011.
- Year-over-year, Accumulated Expenses has increased for seven consecutive quarters, with growth averaging 8.1% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q1 2015 (growth of 104.0%), and the weakest in fiscal Q4 2015 (a decline of 5.3%).
- Business Quant data shows SR's Accumulated Expenses at $18.9 million (Q2 2019), $27.2 million (Q1 2019) and $15.2 million (Q4 2018) in the three fiscal quarters before Q3 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nextera Energy | 178.52 Bn | 165.27 Bn | - |
| 2 | Southern | 107.79 Bn | 98.84 Bn | 5.92 Bn |
| 3 | Duke Energy | 100.04 Bn | 100.04 Bn | - |
| 4 | National Grid | 83.53 Bn | 55.82 Bn | - |
| 5 | American Electric Power | 70.90 Bn | 68.07 Bn | 3.84 Bn |
| 6 | Dominion Energy | 59.77 Bn | 57.76 Bn | - |
| 7 | Sempra | 56.38 Bn | 55.50 Bn | 2.89 Bn |
| 8 | Entergy | 50.50 Bn | 39.63 Bn | - |
| 9 | Xcel Energy | 49.96 Bn | 43.43 Bn | - |
| 10 | Spire | 5.25 Bn | 5.25 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 28.70 Mn |
| Mar 31, 2019 | 18.90 Mn |
| Dec 31, 2018 | 27.20 Mn |
| Sep 30, 2018 | 15.20 Mn |
| Jun 30, 2018 | 27.80 Mn |
| Mar 31, 2018 | 15.80 Mn |
| Dec 31, 2017 | 26.30 Mn |
| Sep 30, 2017 | 14.60 Mn |
| Jun 30, 2017 | 24.20 Mn |
| Mar 31, 2017 | 15.30 Mn |
| Dec 31, 2016 | 22.30 Mn |
| Sep 30, 2016 | 14.80 Mn |
| Jun 30, 2016 | 19.70 Mn |
| Mar 31, 2016 | 14.30 Mn |
| Dec 31, 2015 | 19.50 Mn |
| Sep 30, 2015 | 14.30 Mn |
| Jun 30, 2015 | 19.40 Mn |
| Mar 31, 2015 | 14.90 Mn |
| Dec 31, 2014 | 19.90 Mn |
| Sep 30, 2014 | 15.10 Mn |
API Access
Spire 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=SR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SR", "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=SR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();