Sifco Industries (SIF) Other Non-Current Liabilities (2010 - 2026)
Sifco Industries' Other Non-Current Liabilities was $596,000 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 4.9% from $627,000 a year earlier and down 1.2% from the prior quarter.
Sifco Industries (SIF) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Other Non-Current Liabilities at Sifco Industries came in at $619,000, down 4.0% from FY2024.
- Other Non-Current Liabilities has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- In earlier fiscal years, Other Non-Current Liabilities was $645,000 in FY2024 (-2.4%), $661,000 in FY2023 (-11.2%), $744,000 in FY2022 (+0.4%) and $741,000 in FY2021 (-3.6%).
- The fiscal Q3 2026 figure marks the lowest quarterly Other Non-Current Liabilities since fiscal Q4 2019.
- Compared with a year earlier, Other Non-Current Liabilities has declined for five straight quarters, with an average decline of 3.3% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was fiscal Q2 2025 (growth of 12.5%); the worst was fiscal Q2 2026 (a decline of 18.4%).
- Per Business Quant data, SIF's Other Non-Current Liabilities in the three fiscal quarters before Q3 2026 was $603,000 (Q2 2026), $611,000 (Q1 2026) and $619,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Sifco Industries | 140.59 Mn | 138.61 Mn | 3.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 596,000.00 |
| Mar 31, 2026 | 603,000.00 |
| Dec 31, 2025 | 611,000.00 |
| Sep 30, 2025 | 619,000.00 |
| Jun 30, 2025 | 627,000.00 |
| Mar 31, 2025 | 739,000.00 |
| Dec 31, 2024 | 746,000.00 |
| Sep 30, 2024 | 645,000.00 |
| Jun 30, 2024 | 651,000.00 |
| Mar 31, 2024 | 657,000.00 |
| Dec 31, 2023 | 664,000.00 |
| Sep 30, 2023 | 661,000.00 |
| Jun 30, 2023 | 676,000.00 |
| Mar 31, 2023 | 684,000.00 |
| Dec 31, 2022 | 710,000.00 |
| Sep 30, 2022 | 744,000.00 |
| Jun 30, 2022 | 722,000.00 |
| Mar 31, 2022 | 730,000.00 |
| Dec 31, 2021 | 741,000.00 |
| Sep 30, 2021 | 741,000.00 |
Sifco Industries Other Non-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=other-non-current-liabilities&ticker=SIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-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=other-non-current-liabilities&ticker=SIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();