Spire (SR) Operating Expenses (2009 - 2026)
Spire's Operating Expenses was $716.5 million in fiscal Q2 2026 (quarter ended Mar 31, 2026), up 2.6% from $698.5 million a year earlier and up 21.7% from the prior quarter.
Spire (SR) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Spire's Operating Expenses was $1.99 billion through Mar 31, 2026, up 6.2% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $1.95 billion, down 7.2% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $2.1 billion in FY2024 (-6.4%), $2.25 billion in FY2023 (+25.5%), $1.79 billion in FY2022 (+0.3%) and $1.79 billion in FY2021 (+8.3%).
- The fiscal Q2 2026 figure marks the highest quarterly Operating Expenses since fiscal Q2 2024.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with an average decline of 2.5% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2021 (growth of 82.7%); the worst was fiscal Q4 2023 (a decline of 52.7%).
- Per Business Quant data, SR's Operating Expenses in the three fiscal quarters before Q2 2026 was $588.7 million (Q1 2026), $334.6 million (Q4 2025) and $352.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 162.78 Bn | 152.72 Bn | - | 5.29 Bn |
| 2 | Southern | 100.19 Bn | 91.25 Bn | 5.92 Bn | 5.20 Bn |
| 3 | Duke Energy | 91.91 Bn | 88.50 Bn | 6.74 Bn | 6.84 Bn |
| 4 | National Grid | 77.40 Bn | 49.69 Bn | - | - |
| 5 | American Electric Power | 68.36 Bn | 65.53 Bn | 3.84 Bn | 4.20 Bn |
| 6 | Dominion Energy | 54.82 Bn | 52.81 Bn | - | 4.15 Bn |
| 7 | Sempra | 53.87 Bn | 52.99 Bn | 2.89 Bn | 1.35 Bn |
| 8 | Entergy | 48.18 Bn | 37.31 Bn | - | 2.67 Bn |
| 9 | Xcel Energy | 46.63 Bn | 41.53 Bn | - | 2.41 Bn |
| 10 | Spire | 4.73 Bn | 4.66 Bn | 559.80 Mn | 716.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 716.50 Mn |
| Dec 31, 2025 | 588.70 Mn |
| Sep 30, 2025 | 334.60 Mn |
| Jun 30, 2025 | 352.70 Mn |
| Mar 31, 2025 | 698.50 Mn |
| Dec 31, 2024 | 520.30 Mn |
| Sep 30, 2024 | 274.00 Mn |
| Jun 30, 2024 | 383.40 Mn |
| Mar 31, 2024 | 829.90 Mn |
| Dec 31, 2023 | 617.40 Mn |
| Sep 30, 2023 | 314.30 Mn |
| Jun 30, 2023 | 406.50 Mn |
| Mar 31, 2023 | 863.10 Mn |
| Dec 31, 2022 | 663.80 Mn |
| Sep 30, 2022 | 663.80 Mn |
| Jun 30, 2022 | 410.10 Mn |
| Mar 31, 2022 | 635.70 Mn |
| Dec 31, 2021 | 460.10 Mn |
| Sep 30, 2021 | 460.10 Mn |
| Jun 30, 2021 | 294.60 Mn |
Spire 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=operating-expenses&ticker=SR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();