Sifco Industries (SIF) Assets (2010 - 2026)
Sifco Industries' Assets came in at $80.04 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 3.6% from $77.29 million a year earlier and up 2.4% from the prior quarter.
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Analysis
Sifco Industries (SIF) Assets (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Sifco Industries' Assets was $73.39 million, down 29.8% from FY2024.
- Assets carries a five-year compound annual growth rate of -9.7% (FY2020 to FY2025).
- Going back by fiscal year, Assets was $104.62 million in FY2024 (+8.7%), $96.28 million in FY2023 (-1.0%), $97.27 million in FY2022 (-12.1%) and $110.67 million in FY2021 (-9.2%).
- The fiscal Q3 2026 figure represents the highest quarterly Assets since fiscal Q1 2025.
- Year-over-year, Assets increased in two of the last eight quarters, with an average decline of 12.2%.
- The fastest year-over-year change in Assets over five years came in fiscal Q3 2024 (growth of 9.0%), and the weakest in fiscal Q4 2025 (a decline of 29.8%).
- Business Quant data shows SIF's Assets at $78.2 million (Q2 2026), $74.94 million (Q1 2026) and $73.39 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 127.67 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 173.97 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 165.87 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 62.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 13.25 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 60.16 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 19.24 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 50.76 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 77.34 Bn |
| 10 | Sifco Industries | 139.46 Mn | 137.49 Mn | 3.42 Mn | 80.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.04 Mn |
| Mar 31, 2026 | 78.20 Mn |
| Dec 31, 2025 | 74.94 Mn |
| Sep 30, 2025 | 73.39 Mn |
| Jun 30, 2025 | 77.29 Mn |
| Mar 31, 2025 | 78.83 Mn |
| Dec 31, 2024 | 80.98 Mn |
| Sep 30, 2024 | 104.62 Mn |
| Jun 30, 2024 | 106.33 Mn |
| Mar 31, 2024 | 104.19 Mn |
| Dec 31, 2023 | 101.48 Mn |
| Sep 30, 2023 | 96.28 Mn |
| Jun 30, 2023 | 97.56 Mn |
| Mar 31, 2023 | 98.71 Mn |
| Dec 31, 2022 | 99.77 Mn |
| Sep 30, 2022 | 97.27 Mn |
| Jun 30, 2022 | 102.26 Mn |
| Mar 31, 2022 | 108.48 Mn |
| Dec 31, 2021 | 107.77 Mn |
| Sep 30, 2021 | 110.67 Mn |
API Access
Sifco Industries Assets 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=assets&ticker=SIF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=SIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();