National Grid (NGG) Inventory (2009 - 2026)
National Grid's Inventory came in at $736.36 million for FY2026 (year ended Mar 31, 2026).
Analysis
National Grid (NGG) Inventory (2009 - 2026) Analysis & Trends
Going back to FY2009, National Grid's Inventory data covers 17 fiscal years.
- Inventory carries a five-year compound annual growth rate of 4.1% (FY2021 to FY2026).
- The FY2026 figure represents the lowest annual Inventory since FY2022.
- Per Business Quant, earlier fiscal years put Inventory at $750.12 million in FY2025 (-27.8%), $1.04 billion in FY2024 (-6.9%), $1.12 billion in FY2023 (+81.1%) and $616.08 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 178.52 Bn | 165.27 Bn | - | 2.84 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 | - | 736.36 Mn |
| 5 | American Electric Power | 70.90 Bn | 68.07 Bn | 3.84 Bn | 1.18 Bn |
| 6 | Dominion Energy | 59.77 Bn | 57.76 Bn | - | 2.01 Bn |
| 7 | Sempra | 56.38 Bn | 55.50 Bn | 2.89 Bn | 496.00 Mn |
| 8 | Entergy | 50.50 Bn | 39.63 Bn | - | 1.78 Bn |
| 9 | Xcel Energy | 49.96 Bn | 43.43 Bn | - | 827.00 Mn |
| 10 | Exelon | 47.70 Bn | 43.02 Bn | - | 548.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 736.36 Mn |
| Dec 31, 2025 | 750.12 Mn |
| Sep 30, 2025 | 861.33 Mn |
| May 15, 2025 | 738.78 Mn |
| Mar 31, 2025 | 720.66 Mn |
| Dec 31, 2024 | 1.04 Bn |
| Sep 30, 2024 | 855.19 Mn |
| May 23, 2024 | 1.05 Bn |
| Mar 31, 2024 | 1.05 Bn |
| Dec 31, 2023 | 1.12 Bn |
| Sep 30, 2023 | 1.14 Bn |
| May 18, 2023 | 1.09 Bn |
| Mar 31, 2023 | 1.09 Bn |
| Dec 31, 2022 | 616.08 Mn |
| Sep 30, 2022 | 1.08 Bn |
| Mar 31, 2022 | 671.40 Mn |
| Mar 31, 2021 | 603.48 Mn |
| Mar 31, 2020 | 679.20 Mn |
| Mar 31, 2019 | 483.09 Mn |
| Sep 30, 2018 | 575.46 Mn |
API Access
National Grid 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=inventory&ticker=NGG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=NGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();