Sifco Industries (SIF) Enterprise Value (2010 - 2026)
Sifco Industries (SIF) recorded Enterprise Value of $146.27 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 594.1% from $21.07 million a year earlier and up 76.4% from the prior quarter.
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Analysis
Sifco Industries (SIF) Enterprise Value (2010 - 2026) Analysis & Trends
On a TTM basis, Sifco Industries' Enterprise Value came in at $144.37 million as of Jun 30, 2026, up 909.9% year-over-year; for FY2025 (ended Sep 30, 2025), it was $43.02 million, up 59.8% from FY2024.
- Annual Enterprise Value has increased for three straight fiscal years, with a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- Across earlier fiscal years, Enterprise Value came in at $26.92 million in FY2024 (+20.3%), $22.38 million in FY2023 (+28.9%), $17.37 million in FY2022 (-66.0%) and $51.14 million in FY2021 (+139.6%).
- The fiscal Q3 2026 figure is the highest quarterly Enterprise Value since fiscal Q1 2015.
- On a year-over-year basis, Enterprise Value has increased for five consecutive quarters, with growth averaging 149.8% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 594.1% in fiscal Q3 2026, against a decline of 69.0% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $82.94 million (Q2 2026), $33.57 million (Q1 2026) and $43.02 million (Q4 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 146.27 Mn |
| Mar 31, 2026 | 82.94 Mn |
| Dec 31, 2025 | 33.57 Mn |
| Sep 30, 2025 | 43.02 Mn |
| Jun 30, 2025 | 21.07 Mn |
| Mar 31, 2025 | 15.16 Mn |
| Dec 31, 2024 | 18.68 Mn |
| Sep 30, 2024 | 26.92 Mn |
| Jun 30, 2024 | 15.75 Mn |
| Mar 31, 2024 | 17.21 Mn |
| Dec 31, 2023 | 24.73 Mn |
| Sep 30, 2023 | 22.38 Mn |
| Jun 30, 2023 | 14.43 Mn |
| Mar 31, 2023 | 18.07 Mn |
| Dec 31, 2022 | 11.96 Mn |
| Sep 30, 2022 | 17.37 Mn |
| Jun 30, 2022 | 18.61 Mn |
| Mar 31, 2022 | 29.83 Mn |
| Dec 31, 2021 | 38.27 Mn |
| Sep 30, 2021 | 51.14 Mn |
API Access
Sifco Industries Enterprise Value 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=enterprise-value&ticker=SIF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=SIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();