Sifco Industries (SIF) Operating Leases (2019 - 2026)
Sifco Industries (SIF) reported Operating Leases of $11.46 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 8.2% from $12.48 million a year earlier and down 2.2% from the prior quarter.
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Analysis
Sifco Industries (SIF) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Sifco Industries posted Operating Leases of $12.23 million, down 6.2% from FY2024.
- Operating Leases has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- By fiscal year, Operating Leases came in at $13.04 million in FY2024 (-6.3%), $13.92 million in FY2023 (-5.9%), $14.79 million in FY2022 (-4.2%) and $15.44 million in FY2021 (-4.6%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Operating Leases in data going back to fiscal Q1 2020.
- Year over year, Operating Leases has now declined in each of the last 23 quarters, with an average decline of 6.9% over the last eight quarters.
- The year-over-year decline in Operating Leases has ranged between 4.2% (fiscal Q2 2023) and 8.2% (fiscal Q3 2026) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $11.72 million (Q2 2026), $11.98 million (Q1 2026) and $12.23 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | Sifco Industries | 139.46 Mn | 137.49 Mn | 3.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.46 Mn |
| Mar 31, 2026 | 11.72 Mn |
| Dec 31, 2025 | 11.98 Mn |
| Sep 30, 2025 | 12.23 Mn |
| Jun 30, 2025 | 12.48 Mn |
| Mar 31, 2025 | 12.61 Mn |
| Dec 31, 2024 | 12.84 Mn |
| Sep 30, 2024 | 13.04 Mn |
| Jun 30, 2024 | 13.33 Mn |
| Mar 31, 2024 | 13.56 Mn |
| Dec 31, 2023 | 13.80 Mn |
| Sep 30, 2023 | 13.92 Mn |
| Jun 30, 2023 | 14.20 Mn |
| Mar 31, 2023 | 14.42 Mn |
| Dec 31, 2022 | 14.58 Mn |
| Sep 30, 2022 | 14.79 Mn |
| Jun 30, 2022 | 14.86 Mn |
| Mar 31, 2022 | 15.05 Mn |
| Dec 31, 2021 | 15.25 Mn |
| Sep 30, 2021 | 15.44 Mn |
API Access
Sifco Industries Operating Leases 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=operating-leases&ticker=SIF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=SIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();