Spire (SR) Regulatory Liabilities (2010 - 2026)
Spire's Regulatory Liabilities came in at $777.6 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 33.6% from $582 million a year earlier but down 3.5% from the prior quarter.
Spire (SR) Regulatory Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Spire's Regulatory Liabilities was $578 million, up 7.9% from FY2024.
- Regulatory Liabilities has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- Going back by fiscal year, Regulatory Liabilities was $535.5 million in FY2024 (+13.4%), $472.4 million in FY2023 (+13.0%), $418.2 million in FY2022 (-32.6%) and $620.9 million in FY2021 (+80.7%).
- The five-year range for quarterly Regulatory Liabilities is $344.9 million (fiscal Q1 2023) to $806 million (fiscal Q2 2026).
- Year-over-year, Regulatory Liabilities has increased for 13 consecutive quarters, with growth averaging 15.3% over the last eight quarters.
- The fastest year-over-year change in Regulatory Liabilities over five years came in fiscal Q4 2021 (growth of 80.7%), and the weakest in fiscal Q1 2023 (a decline of 35.1%).
- Business Quant data shows SR's Regulatory Liabilities at $806 million (Q2 2026), $587.6 million (Q1 2026) and $578 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Regulatory Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 176.59 Bn | 163.33 Bn | - | 13.32 Bn |
| 2 | Southern | 107.23 Bn | 98.29 Bn | 5.92 Bn | - |
| 3 | Duke Energy | 99.14 Bn | 95.39 Bn | 5.66 Bn | 15.36 Bn |
| 4 | National Grid | 82.23 Bn | 54.53 Bn | - | - |
| 5 | American Electric Power | 70.87 Bn | 68.04 Bn | 3.84 Bn | 8.62 Bn |
| 6 | Dominion Energy | 59.16 Bn | 57.15 Bn | - | 9.42 Bn |
| 7 | Sempra | 55.83 Bn | 54.95 Bn | 2.89 Bn | 4.40 Bn |
| 8 | Entergy | 50.11 Bn | 39.24 Bn | - | 3.99 Bn |
| 9 | Xcel Energy | 49.69 Bn | 43.16 Bn | - | 6.56 Bn |
| 10 | Spire | 5.24 Bn | 5.16 Bn | 288.80 Mn | 777.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 777.60 Mn |
| Mar 31, 2026 | 806.00 Mn |
| Dec 31, 2025 | 587.60 Mn |
| Sep 30, 2025 | 578.00 Mn |
| Jun 30, 2025 | 582.00 Mn |
| Mar 31, 2025 | 637.00 Mn |
| Dec 31, 2024 | 577.20 Mn |
| Sep 30, 2024 | 535.50 Mn |
| Jun 30, 2024 | 547.50 Mn |
| Mar 31, 2024 | 557.70 Mn |
| Dec 31, 2023 | 487.20 Mn |
| Sep 30, 2023 | 472.40 Mn |
| Jun 30, 2023 | 428.10 Mn |
| Mar 31, 2023 | 360.30 Mn |
| Dec 31, 2022 | 344.90 Mn |
| Sep 30, 2022 | 418.20 Mn |
| Jun 30, 2022 | 389.00 Mn |
| Mar 31, 2022 | 400.40 Mn |
| Dec 31, 2021 | 531.80 Mn |
| Sep 30, 2021 | 620.90 Mn |
Spire Regulatory Liabilities 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=regulatory-liabilities&ticker=SR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "regulatory-liabilities", "ticker": "SR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=regulatory-liabilities&ticker=SR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();