Connecticut Light & Power (CNTHP) Change in Inventory (2009 - 2022)
Connecticut Light & Power (CNTHP) recorded Change in Inventory of $19.5 million in Q1 2022, down 54.1% from $42.49 million a year earlier and down 61.1% from the prior quarter.
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Analysis
Connecticut Light & Power (CNTHP) Change in Inventory (2009 - 2022) Analysis & Trends
On a TTM basis, Connecticut Light & Power's Change in Inventory came in at -$21.14 million as of Mar 31, 2022; for FY2021, it came in at $1.86 million, down 87.9% from FY2020.
- Across earlier years, Change in Inventory came in at $15.4 million in FY2020 (+90.8%), $8.07 million in FY2019 (+871.6%), $831,000 in FY2018 (-91.0%) and $9.22 million in FY2017.
- Quarterly Change in Inventory has ranged from -$120.4 million in Q2 2021 to $51.03 million in Q1 2020 over the past five years.
- On a year-over-year basis, Change in Inventory rose in two of the last six quarters, with an average decline of 6.9%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 86.2% in Q4 2017, against a decline of 54.1% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $50.17 million (Q4 2021), $29.6 million (Q3 2021) and -$120.4 million (Q2 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 292.57 Bn | 292.57 Bn | 890.00 Mn | - |
| 2 | National Grid | 78.85 Bn | 60.37 Bn | - | - |
| 3 | Dominion Energy | 53.27 Bn | 55.95 Bn | - | 57.00 Mn |
| 4 | Xcel Energy | 44.01 Bn | 38.91 Bn | - | 58.00 Mn |
| 5 | Wec Energy | 32.84 Bn | 33.08 Bn | 1.51 Bn | 132.30 Mn |
| 6 | Ameren | 27.51 Bn | 27.59 Bn | - | 65.00 Mn |
| 7 | Fortis | 26.81 Bn | 27.29 Bn | 1.60 Bn | - |
| 8 | Atmos Energy | 26.44 Bn | 25.21 Bn | 870.85 Mn | - |
| 9 | American Water Works Company | 25.73 Bn | 25.14 Bn | - | - |
| 10 | Connecticut Light & Power | 19.55 Bn | 19.71 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 19.50 Mn |
| Dec 31, 2021 | 50.17 Mn |
| Sep 30, 2021 | 29.60 Mn |
| Jun 30, 2021 | -120.40 Mn |
| Mar 31, 2021 | 42.49 Mn |
| Dec 31, 2020 | 36.51 Mn |
| Sep 30, 2020 | 38.23 Mn |
| Jun 30, 2020 | -110.36 Mn |
| Mar 31, 2020 | 51.03 Mn |
| Dec 31, 2019 | 42.10 Mn |
| Sep 30, 2019 | 29.89 Mn |
| Jun 30, 2019 | -102.98 Mn |
| Mar 31, 2019 | 39.06 Mn |
| Dec 31, 2018 | 45.53 Mn |
| Sep 30, 2018 | 20.91 Mn |
| Jun 30, 2018 | -92.57 Mn |
| Mar 31, 2018 | 26.96 Mn |
| Dec 31, 2017 | 32.91 Mn |
| Sep 30, 2017 | 18.74 Mn |
| Jun 30, 2017 | -75.48 Mn |
API Access
Connecticut Light & Power Change in Inventory 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=change-in-inventory&ticker=CNTHP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "CNTHP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-inventory&ticker=CNTHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();