Sifco Industries (SIF) Current Assets (2010 - 2026)
Sifco Industries' Current Assets was $44.88 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 17.8% from $38.1 million a year earlier and up 6.3% from the prior quarter.
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Analysis
Sifco Industries (SIF) Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Current Assets at Sifco Industries came in at $35.09 million, down 35.4% from FY2024.
- Current Assets shows a five-year compound annual growth rate of -8.7% (FY2020 to FY2025).
- In earlier fiscal years, Current Assets was $54.32 million in FY2024 (+31.0%), $41.47 million in FY2023 (+7.0%), $38.78 million in FY2022 (-18.5%) and $47.57 million in FY2021 (-13.8%).
- The fiscal Q3 2026 figure marks the highest quarterly Current Assets since fiscal Q4 2024.
- Compared with a year earlier, Current Assets was higher in three of the last eight quarters, with an average decline of 6.7%.
- The best year-over-year quarter for Current Assets over five years was fiscal Q3 2024 (growth of 31.9%); the worst was fiscal Q4 2025 (a decline of 35.4%).
- Per Business Quant data, SIF's Current Assets in the three fiscal quarters before Q3 2026 was $42.22 million (Q2 2026), $37.77 million (Q1 2026) and $35.09 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 39.70 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 63.91 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 124.63 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 28.40 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 4.19 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 27.04 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 6.13 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 15.59 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 28.08 Bn |
| 10 | Sifco Industries | 139.46 Mn | 137.49 Mn | 3.42 Mn | 44.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.88 Mn |
| Mar 31, 2026 | 42.22 Mn |
| Dec 31, 2025 | 37.77 Mn |
| Sep 30, 2025 | 35.09 Mn |
| Jun 30, 2025 | 38.10 Mn |
| Mar 31, 2025 | 38.10 Mn |
| Dec 31, 2024 | 38.94 Mn |
| Sep 30, 2024 | 54.32 Mn |
| Jun 30, 2024 | 55.00 Mn |
| Mar 31, 2024 | 51.62 Mn |
| Dec 31, 2023 | 47.58 Mn |
| Sep 30, 2023 | 41.47 Mn |
| Jun 30, 2023 | 41.70 Mn |
| Mar 31, 2023 | 41.41 Mn |
| Dec 31, 2022 | 41.16 Mn |
| Sep 30, 2022 | 38.78 Mn |
| Jun 30, 2022 | 42.63 Mn |
| Mar 31, 2022 | 47.44 Mn |
| Dec 31, 2021 | 45.33 Mn |
| Sep 30, 2021 | 47.57 Mn |
API Access
Sifco Industries Current 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=current-assets&ticker=SIF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-assets&ticker=SIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();