Sifco Industries (SIF) EV to EBITDA (2011 - 2026)
Sifco Industries' (SIF) EV to EBITDA came in at 15.61 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 295.2% from 3.95 a year earlier and up 142.3% from the prior quarter.
Sifco Industries (SIF) EV to EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Sifco Industries was 15.41, up 475.1% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 8.27.
- In prior fiscal years, Sifco Industries' EV to EBITDA was 7.80 in FY2021 (+540.0%).
- The fiscal Q3 2026 figure stands as the highest quarterly EV to EBITDA since fiscal Q1 2022.
- According to Business Quant data, EV to EBITDA for the three prior fiscal quarters was 6.44 (Q2 2026), 3.50 (Q1 2026) and 8.27 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 305.96 Bn | 264.47 Bn | 5.02 Bn |
| 2 | Rtx | 258.78 Bn | 227.05 Bn | 5.81 Bn |
| 3 | Boeing | 152.08 Bn | 58.77 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 127.01 Bn | 113.73 Bn | 2.45 Bn |
| 5 | General Dynamics | 93.41 Bn | 80.52 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 83.06 Bn | 78.66 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 77.59 Bn | 73.94 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 76.72 Bn | 64.17 Bn | 2.35 Bn |
| 9 | Honeywell International | 68.15 Bn | 20.27 Bn | 3.65 Bn |
| 10 | Sifco Industries | 131.14 Mn | 129.16 Mn | 3.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.26 |
| Mar 31, 2026 | 6.34 |
| Dec 31, 2025 | 3.43 |
| Sep 30, 2025 | 7.96 |
| Jun 30, 2025 | 3.56 |
| Mar 31, 2025 | 5.41 |
| Dec 31, 2024 | 7.38 |
| Sep 30, 2024 | 32.79 |
| Dec 31, 2021 | 88.80 |
| Sep 30, 2021 | 7.71 |
| Jun 30, 2021 | 4.17 |
| Mar 31, 2021 | 4.49 |
| Dec 31, 2020 | 2.30 |
| Sep 30, 2020 | 1.21 |
| Jun 30, 2020 | 1.55 |
| Mar 31, 2020 | 2.52 |
| Dec 31, 2019 | 30.97 |
| Sep 30, 2019 | 26.40 |
| Mar 31, 2019 | 5.48 |
| Dec 31, 2018 | 9.39 |
Sifco Industries 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=SIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "SIF", "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=SIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();