H2O America (HTO) Restructuring Costs (2018 - 2020)
H2O America's Restructuring Costs came in at $354,000 for Q1 2020, down 86.4% from $2.6 million a year earlier and down 96.3% from the prior quarter.
Analysis
H2O America (HTO) Restructuring Costs (2018 - 2020) Analysis & Trends
For FY2019, H2O America's Restructuring Costs was $15.77 million, down 15.3% from FY2018.
- Going back by year, Restructuring Costs was $18.61 million in FY2018.
- The Q1 2020 figure represents the lowest quarterly Restructuring Costs in data going back to Q1 2018.
- Year-over-year, Restructuring Costs increased in 1 of the last five quarters, with an average decline of 13.2%.
- Business Quant data shows HTO's Restructuring Costs at $9.66 million (Q4 2019), $1.74 million (Q3 2019) and $1.78 million (Q2 2019) in the three quarters before Q1 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn |
| 2 | National Grid | 78.23 Bn | 59.76 Bn | - |
| 3 | Dominion Energy | 53.03 Bn | 55.71 Bn | - |
| 4 | Xcel Energy | 43.33 Bn | 38.23 Bn | - |
| 5 | Wec Energy | 33.06 Bn | 33.29 Bn | 1.51 Bn |
| 6 | Ameren | 27.51 Bn | 27.60 Bn | - |
| 7 | Fortis | 26.94 Bn | 27.43 Bn | 1.60 Bn |
| 8 | Atmos Energy | 26.53 Bn | 25.30 Bn | 870.85 Mn |
| 9 | American Water Works Company | 25.62 Bn | 25.03 Bn | - |
| 10 | H2O America | 2.57 Bn | 2.28 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 354,000.00 |
| Dec 31, 2019 | 9.66 Mn |
| Sep 30, 2019 | 1.74 Mn |
| Jun 30, 2019 | 1.78 Mn |
| Mar 31, 2019 | 2.60 Mn |
| Dec 31, 2018 | 3.62 Mn |
| Sep 30, 2018 | 8.44 Mn |
| Jun 30, 2018 | 2.75 Mn |
| Mar 31, 2018 | 3.81 Mn |
API Access
H2O America Restructuring Costs 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=restructuring-costs&ticker=HTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "HTO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=restructuring-costs&ticker=HTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();