Sifco Industries (SIF) Total Current Liabilities (2010 - 2026)
Sifco Industries (SIF) recorded Total Current Liabilities of $25.38 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 1.1% from $25.65 million a year earlier but up 9.1% from the prior quarter.
Sifco Industries (SIF) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Sifco Industries reported Total Current Liabilities of $22.24 million, down 58.8% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of -12.5% (FY2020 to FY2025).
- Across earlier fiscal years, Total Current Liabilities came in at $54.01 million in FY2024 (+31.0%), $41.24 million in FY2023 (+26.5%), $32.59 million in FY2022 (-9.4%) and $35.97 million in FY2021 (-16.9%).
- Quarterly Total Current Liabilities has ranged from $21.99 million in fiscal Q1 2026 to $55.43 million in fiscal Q3 2024 over the past five years.
- On a year-over-year basis, Total Current Liabilities has declined for seven consecutive quarters, with an average decline of 26.6% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 42.8% in fiscal Q3 2024, against a decline of 58.8% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $23.26 million (Q2 2026), $21.99 million (Q1 2026) and $22.24 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 40.43 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 63.25 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 109.56 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 23.81 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 2.31 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 18.77 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 5.58 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 13.35 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 23.19 Bn |
| 10 | Sifco Industries | 139.46 Mn | 137.49 Mn | 3.42 Mn | 25.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.38 Mn |
| Mar 31, 2026 | 23.26 Mn |
| Dec 31, 2025 | 21.99 Mn |
| Sep 30, 2025 | 22.24 Mn |
| Jun 30, 2025 | 25.65 Mn |
| Mar 31, 2025 | 30.39 Mn |
| Dec 31, 2024 | 31.01 Mn |
| Sep 30, 2024 | 54.01 Mn |
| Jun 30, 2024 | 55.43 Mn |
| Mar 31, 2024 | 52.78 Mn |
| Dec 31, 2023 | 47.86 Mn |
| Sep 30, 2023 | 41.24 Mn |
| Jun 30, 2023 | 38.83 Mn |
| Mar 31, 2023 | 38.98 Mn |
| Dec 31, 2022 | 37.40 Mn |
| Sep 30, 2022 | 32.59 Mn |
| Jun 30, 2022 | 31.15 Mn |
| Mar 31, 2022 | 33.82 Mn |
| Dec 31, 2021 | 36.24 Mn |
| Sep 30, 2021 | 35.97 Mn |
Sifco Industries Total Current 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-current-liabilities&ticker=SIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=SIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();