Star Group, L.P. (SGU) EV to EBITDA (2011 - 2026)
Star's (SGU) EV to EBITDA came in at 2.29 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 10.9% from 2.57 a year earlier but up 10.1% from the prior quarter.
Star Group, L.P. (SGU) EV to EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Star was 1.87, up 47.4% year-over-year; for FY2025 (ended Sep 30, 2025), it was 2.32, down 24.7% from FY2024.
- In prior fiscal years, Star's EV to EBITDA was 3.08 in FY2024 (-22.7%), 3.99 in FY2023 (+35.8%), 2.94 in FY2022 (+24.5%) and 2.36 in FY2021 (-12.6%).
- Quarterly EV to EBITDA has run from a low of 2.08 in fiscal Q2 2026 to a high of 8.36 in fiscal Q3 2023 over five years.
- On a year-over-year basis, EV to EBITDA has declined in each of the last 11 quarters, with an average decline of 18.6% over the last eight quarters.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was fiscal Q3 2023, with growth of 240.5%; the weakest was fiscal Q3 2024, with a decline of 67.9%.
- According to Business Quant data, EV to EBITDA for the three prior fiscal quarters was 2.08 (Q2 2026), 2.36 (Q1 2026) and 2.32 (Q4 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.29 |
| Mar 31, 2026 | 2.08 |
| Dec 31, 2025 | 2.36 |
| Sep 30, 2025 | 2.32 |
| Jun 30, 2025 | 2.57 |
| Mar 31, 2025 | 2.97 |
| Dec 31, 2024 | 2.90 |
| Sep 30, 2024 | 3.08 |
| Jun 30, 2024 | 2.69 |
| Mar 31, 2024 | 3.22 |
| Dec 31, 2023 | 4.13 |
| Sep 30, 2023 | 3.99 |
| Jun 30, 2023 | 8.36 |
| Mar 31, 2023 | 6.25 |
| Dec 31, 2022 | 4.31 |
| Sep 30, 2022 | 2.94 |
| Jun 30, 2022 | 2.45 |
| Mar 31, 2022 | 3.00 |
| Dec 31, 2021 | 2.89 |
| Sep 30, 2021 | 2.36 |
Star Group, L.P. EV to 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=ev-to-ebitda&ticker=SGU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "SGU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=SGU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();