National Grid (NGG) Other Operating Expenses (2009 - 2023)
National Grid (NGG) posted Other Operating Expenses of $1.7 billion for Q3 2023, down 71.68% on a QoQ basis from $5.9 billion in Q2 2023.
National Grid (NGG) Other Operating Expenses (2009 - 2023) Analysis & Trends
National Grid has reported Other Operating Expenses for 9 years, with the latest figure at $1.7 billion in Q3 2023.
- On a quarterly basis, Other Operating Expenses changed N/A year-over-year to $1.7 billion in Q3 2023; TTM through Sep 2023 was -$6.9 billion, a N/A change from a year earlier, with the FY2023 full-year figure at $5.9 billion, changed N/A from the prior year.
- Other Operating Expenses was $1.7 billion for Q3 2023 at National Grid, down from $5.9 billion in the prior quarter.
- The five-year high for Other Operating Expenses was $5.9 billion in Q2 2023, with the low at $1.7 billion in Q3 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enel Chile | 306.41 Bn | 306.41 Bn | 890.00 Mn |
| 2 | National Grid | 79.91 Bn | 76.14 Bn | - |
| 3 | Dominion Energy | 54.94 Bn | 58.84 Bn | 3.50 Bn |
| 4 | Xcel Energy | 44.99 Bn | 42.98 Bn | 3.12 Bn |
| 5 | Wec Energy | 33.53 Bn | 33.88 Bn | 1.45 Bn |
| 6 | Ameren | 28.13 Bn | 28.25 Bn | - |
| 7 | Fortis | 27.32 Bn | 28.61 Bn | 1.60 Bn |
| 8 | Firstenergy | 25.89 Bn | 27.19 Bn | 2.51 Bn |
| 9 | Hydro One | 21.93 Bn | 21.54 Bn | - |
| 10 | Edison International | 21.17 Bn | 20.93 Bn | 3.29 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 1.67 Bn |
| May 18, 2023 | 5.91 Bn |
| Sep 30, 2017 | -6.99 Bn |
| Sep 30, 2016 | -7.45 Bn |
| Mar 31, 2016 | -43.00 Mn |
| Dec 31, 2015 | -21.24 Mn |
| Sep 30, 2015 | -7.71 Bn |
| Sep 30, 2014 | -1.43 Bn |
| Sep 30, 2013 | -8.00 Bn |
| Sep 30, 2012 | -6.33 Mn |
| Dec 31, 2010 | 17.38 Mn |
| Sep 30, 2009 | -7.42 Bn |
National Grid Other Operating 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=other-operating-expenses&ticker=NGG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "NGG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=NGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();