American States Water (AWR) Accumulated Expenses (2010 - 2023)
American States Water (AWR) posted Accumulated Expenses of $8.41 million for Q1 2023, up 33.1% from $6.32 million a year earlier and up 58.5% from the prior quarter.
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Analysis
American States Water (AWR) Accumulated Expenses (2010 - 2023) Analysis & Trends
At the end of FY2022, American States Water's Accumulated Expenses came in at $5.31 million, up 16.8% from FY2021.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 6.6% (FY2017 to FY2022).
- In prior years, American States Water's Accumulated Expenses was $4.55 million in FY2021 (-5.9%), $4.83 million in FY2020 (+58.4%), $3.05 million in FY2019 (-21.1%) and $3.87 million in FY2018 (+0.1%).
- The Q1 2023 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2010.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last four quarters, with growth averaging 12.0% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2020, with growth of 58.4%; the weakest was Q4 2019, with a decline of 21.1%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $5.31 million (Q4 2022), $7.23 million (Q3 2022) and $4.94 million (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enel Chile | 287.73 Bn | 287.73 Bn | 890.00 Mn |
| 2 | Nextera Energy | 160.25 Bn | 161.15 Bn | - |
| 3 | Southern | 96.31 Bn | 87.36 Bn | 5.92 Bn |
| 4 | Duke Energy | 88.79 Bn | 87.40 Bn | 6.74 Bn |
| 5 | National Grid | 79.16 Bn | 60.69 Bn | - |
| 6 | American Electric Power | 65.09 Bn | 63.47 Bn | 3.84 Bn |
| 7 | Dominion Energy | 53.95 Bn | 56.63 Bn | - |
| 8 | Sempra | 51.22 Bn | 50.35 Bn | 2.89 Bn |
| 9 | Entergy | 47.09 Bn | 36.28 Bn | - |
| 10 | American States Water | 3.28 Bn | 3.19 Bn | 174.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 8.41 Mn |
| Dec 31, 2022 | 5.31 Mn |
| Sep 30, 2022 | 7.23 Mn |
| Jun 30, 2022 | 4.94 Mn |
| Mar 31, 2022 | 6.32 Mn |
| Dec 31, 2021 | 4.55 Mn |
| Sep 30, 2021 | 6.24 Mn |
| Jun 30, 2021 | 4.50 Mn |
| Mar 31, 2021 | 7.28 Mn |
| Dec 31, 2020 | 4.83 Mn |
| Sep 30, 2020 | 7.25 Mn |
| Jun 30, 2020 | 2.94 Mn |
| Mar 31, 2020 | 6.42 Mn |
| Dec 31, 2019 | 3.05 Mn |
| Sep 30, 2019 | 6.49 Mn |
| Jun 30, 2019 | 3.11 Mn |
| Mar 31, 2019 | 6.49 Mn |
| Dec 31, 2018 | 3.87 Mn |
| Sep 30, 2018 | 6.56 Mn |
| Jun 30, 2018 | 3.83 Mn |
API Access
American States Water 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=AWR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "AWR", "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=AWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();