Spire (SR) EBITDA (2009 - 2026)
Spire (SR) posted EBITDA of $391.2 million for fiscal Q2 2026 (quarter ended Mar 31, 2026), up 11.3% from $351.6 million a year earlier and up 53.5% from the prior quarter.
Spire (SR) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, EBITDA at Spire was $867 million, up 13.2% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $822.1 million, up 7.2% from FY2024.
- Annual EBITDA has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- In prior fiscal years, Spire's EBITDA was $766.7 million in FY2024 (+13.9%), $673.4 million in FY2023 (+4.3%), $645.5 million in FY2022 (-2.7%) and $663.3 million in FY2021 (+64.3%).
- The fiscal Q2 2026 figure stands as the highest quarterly EBITDA in data going back to fiscal Q2 2009.
- On a year-over-year basis, EBITDA increased in six of the last eight quarters, with growth averaging 17.0%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q4 2021, with growth of 202.4%; the weakest was fiscal Q4 2023, with a decline of 70.7%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $254.9 million (Q1 2026), $76 million (Q4 2025) and $144.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 162.78 Bn | 152.72 Bn | - | 4.00 Bn |
| 2 | Southern | 100.19 Bn | 91.25 Bn | 5.92 Bn | 3.37 Bn |
| 3 | Duke Energy | 91.91 Bn | 88.50 Bn | 6.74 Bn | 4.61 Bn |
| 4 | National Grid | 77.40 Bn | 49.69 Bn | - | - |
| 5 | American Electric Power | 68.36 Bn | 65.53 Bn | 3.84 Bn | 2.16 Bn |
| 6 | Dominion Energy | 54.82 Bn | 52.81 Bn | - | 1.02 Bn |
| 7 | Sempra | 53.87 Bn | 52.99 Bn | 2.89 Bn | 1.32 Bn |
| 8 | Entergy | 48.18 Bn | 37.31 Bn | - | 1.52 Bn |
| 9 | Xcel Energy | 46.63 Bn | 41.53 Bn | - | 1.40 Bn |
| 10 | Spire | 4.73 Bn | 4.66 Bn | 559.80 Mn | 391.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 391.20 Mn |
| Dec 31, 2025 | 254.90 Mn |
| Sep 30, 2025 | 76.00 Mn |
| Jun 30, 2025 | 144.90 Mn |
| Mar 31, 2025 | 351.60 Mn |
| Dec 31, 2024 | 221.10 Mn |
| Sep 30, 2024 | 90.90 Mn |
| Jun 30, 2024 | 102.10 Mn |
| Mar 31, 2024 | 367.50 Mn |
| Dec 31, 2023 | 206.20 Mn |
| Sep 30, 2023 | 61.90 Mn |
| Jun 30, 2023 | 76.30 Mn |
| Mar 31, 2023 | 322.90 Mn |
| Dec 31, 2022 | 212.30 Mn |
| Sep 30, 2022 | 211.30 Mn |
| Jun 30, 2022 | 98.30 Mn |
| Mar 31, 2022 | 304.10 Mn |
| Dec 31, 2021 | 152.20 Mn |
| Sep 30, 2021 | 153.00 Mn |
| Jun 30, 2021 | 86.30 Mn |
Spire EBITDA 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=ebitda&ticker=SR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();