Sifco Industries (SIF) Total Liabilities (2010 - 2026)
Sifco Industries (SIF) recorded Total Liabilities of $38.5 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 7.1% from $41.44 million a year earlier but up 4.8% from the prior quarter.
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Analysis
Sifco Industries (SIF) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Sifco Industries reported Total Liabilities of $36.51 million, down 50.8% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -13.7% (FY2020 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $74.2 million in FY2024 (+19.8%), $61.95 million in FY2023 (+9.5%), $56.58 million in FY2022 (-7.3%) and $61.05 million in FY2021 (-20.1%).
- Quarterly Total Liabilities has ranged from $36.24 million in fiscal Q1 2026 to $76.51 million in fiscal Q3 2024 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for seven consecutive quarters, with an average decline of 24.8% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 24.4% in fiscal Q3 2024, against a decline of 50.8% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $36.75 million (Q2 2026), $36.24 million (Q1 2026) and $36.51 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Sifco Industries | 139.46 Mn | 137.49 Mn | 3.42 Mn | 38.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.50 Mn |
| Mar 31, 2026 | 36.75 Mn |
| Dec 31, 2025 | 36.24 Mn |
| Sep 30, 2025 | 36.51 Mn |
| Jun 30, 2025 | 41.44 Mn |
| Mar 31, 2025 | 46.46 Mn |
| Dec 31, 2024 | 47.31 Mn |
| Sep 30, 2024 | 74.20 Mn |
| Jun 30, 2024 | 76.51 Mn |
| Mar 31, 2024 | 74.53 Mn |
| Dec 31, 2023 | 70.24 Mn |
| Sep 30, 2023 | 61.95 Mn |
| Jun 30, 2023 | 61.49 Mn |
| Mar 31, 2023 | 62.27 Mn |
| Dec 31, 2022 | 61.19 Mn |
| Sep 30, 2022 | 56.58 Mn |
| Jun 30, 2022 | 55.30 Mn |
| Mar 31, 2022 | 58.73 Mn |
| Dec 31, 2021 | 61.79 Mn |
| Sep 30, 2021 | 61.05 Mn |
API Access
Sifco Industries Total Liabilities 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=total-liabilities&ticker=SIF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();