National Grid (NGG) Price to Book (2011 - 2026)
National Grid's Price to Book came in at 1.67 for FY2026 (year ended Mar 31, 2026).
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Analysis
National Grid (NGG) Price to Book (2011 - 2026) Analysis & Trends
Going back to FY2011, National Grid's Price to Book data covers 15 fiscal years.
- The FY2026 figure represents the highest annual Price to Book since FY2021.
- Per Business Quant, earlier fiscal years put Price to Book at 1.46 in FY2025 (+17.6%), 1.24 in FY2024 (-8.3%), 1.35 in FY2023 (-8.0%) and 1.47 in FY2022 (-21.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nextera Energy | 162.78 Bn | 152.72 Bn | - |
| 2 | Southern | 100.19 Bn | 91.25 Bn | 5.92 Bn |
| 3 | Duke Energy | 91.91 Bn | 88.50 Bn | 6.74 Bn |
| 4 | National Grid | 77.40 Bn | 49.69 Bn | - |
| 5 | American Electric Power | 68.36 Bn | 65.53 Bn | 3.84 Bn |
| 6 | Dominion Energy | 54.82 Bn | 52.81 Bn | - |
| 7 | Sempra | 53.87 Bn | 52.99 Bn | 2.89 Bn |
| 8 | Entergy | 48.18 Bn | 37.31 Bn | - |
| 9 | Xcel Energy | 46.63 Bn | 41.53 Bn | - |
| 10 | Exelon | 43.40 Bn | 38.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.66 |
| Nov 28, 2025 | 67.44 |
| Sep 30, 2025 | 1.49 |
| May 15, 2025 | 1.46 |
| Mar 31, 2025 | 1.41 |
| Dec 31, 2024 | 1.24 |
| Sep 30, 2024 | 1.19 |
| May 23, 2024 | 1.30 |
| Mar 31, 2024 | 1.43 |
| Dec 31, 2023 | 1.36 |
| Sep 30, 2023 | 1.28 |
| May 18, 2023 | 1.50 |
| Mar 31, 2023 | 1.49 |
| Dec 31, 2022 | 1.55 |
| Sep 30, 2022 | 1.32 |
| Mar 31, 2022 | 1.88 |
| Jun 14, 2021 | 9.11 |
| Mar 31, 2021 | 1.65 |
| Mar 31, 2020 | 1.74 |
| Mar 31, 2019 | 1.66 |
API Access
National Grid Price to Book 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=price-to-book&ticker=NGG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=NGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();