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 | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | Sifco Industries | 139.46 Mn | 137.49 Mn | 3.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.61 |
| Mar 31, 2026 | 6.44 |
| Dec 31, 2025 | 3.50 |
| Sep 30, 2025 | 8.27 |
| Jun 30, 2025 | 3.95 |
| Mar 31, 2025 | 8.08 |
| Dec 31, 2024 | 14.16 |
| Dec 31, 2021 | 102.06 |
| Sep 30, 2021 | 7.80 |
| Jun 30, 2021 | 4.20 |
| Mar 31, 2021 | 4.52 |
| Dec 31, 2020 | 2.32 |
| Sep 30, 2020 | 1.22 |
| Jun 30, 2020 | 1.56 |
| Mar 31, 2020 | 2.57 |
| Dec 31, 2019 | 36.66 |
| Sep 30, 2019 | 31.84 |
| Mar 31, 2019 | 5.80 |
| Dec 31, 2018 | 10.22 |
| Sep 30, 2018 | 10.79 |
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();