Sifco Industries (SIF) Operating Expenses (2010 - 2026)
Sifco Industries (SIF) recorded Operating Expenses of $3.1 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 17.6% from $2.64 million a year earlier and up 3.9% from the prior quarter.
Powered by 
Analysis
Sifco Industries (SIF) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Sifco Industries' Operating Expenses came in at $11.3 million as of Jun 30, 2026, up 8.0% year-over-year; for FY2025 (ended Sep 30, 2025), it was $10.4 million, down 6.6% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -5.8% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $11.13 million in FY2024 (-9.4%), $12.28 million in FY2023 (+3.1%), $11.91 million in FY2022 (-11.7%) and $13.48 million in FY2021 (-3.8%).
- The fiscal Q3 2026 figure is the highest quarterly Operating Expenses since fiscal Q1 2024.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with growth averaging 7.9%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 50.1% in fiscal Q4 2024, against a decline of 38.8% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.99 million (Q2 2026), $2.65 million (Q1 2026) and $2.57 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 2.35 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 | 156.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Sifco Industries | 139.46 Mn | 137.49 Mn | 3.42 Mn | 3.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.10 Mn |
| Mar 31, 2026 | 2.99 Mn |
| Dec 31, 2025 | 2.65 Mn |
| Sep 30, 2025 | 2.57 Mn |
| Jun 30, 2025 | 2.64 Mn |
| Mar 31, 2025 | 2.35 Mn |
| Dec 31, 2024 | 2.84 Mn |
| Sep 30, 2024 | 2.64 Mn |
| Jun 30, 2024 | 2.57 Mn |
| Mar 31, 2024 | 2.82 Mn |
| Dec 31, 2023 | 3.10 Mn |
| Sep 30, 2023 | 1.76 Mn |
| Jun 30, 2023 | 3.39 Mn |
| Mar 31, 2023 | 3.85 Mn |
| Dec 31, 2022 | 3.28 Mn |
| Sep 30, 2022 | 2.87 Mn |
| Jun 30, 2022 | 2.82 Mn |
| Mar 31, 2022 | 2.68 Mn |
| Dec 31, 2021 | 3.54 Mn |
| Sep 30, 2021 | 3.15 Mn |
API Access
Sifco Industries Operating Expenses 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-expenses&ticker=SIF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=SIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();