Sifco Industries (SIF) Net Margin (2010 - 2026)
Sifco Industries' Net Margin was -0.15% in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 15.58 percentage points from 15.42% a year earlier and down 10.18 percentage points from the prior quarter.
Sifco Industries (SIF) Net Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sifco Industries' Net Margin was 4.00% through Jun 30, 2026, up 4.89 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at -0.86%, up 5.90 percentage points from FY2024.
- Net Margin shows a five-year change of -8.95 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Net Margin was -6.76% in FY2024 (+6.40 pp), -13.16% in FY2023 (-1.67 pp), -11.49% in FY2022 (-10.74 pp) and -0.75% in FY2021 (-8.84 pp).
- Quarterly Net Margin has moved between -37.14% (fiscal Q4 2022) and 15.42% (fiscal Q3 2025) over five years.
- Compared with a year earlier, Net Margin was higher in seven of the last eight quarters, with an average year-over-year change of +7.66 percentage points.
- The best year-over-year quarter for Net Margin over five years was fiscal Q4 2023 (a gain of 20.84 percentage points); the worst was fiscal Q2 2023 (a drop of 31.30 percentage points).
- Per Business Quant data, SIF's Net Margin in the three fiscal quarters before Q3 2026 was 10.02% (Q2 2026), 7.47% (Q1 2026) and -1.88% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 17.75% |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 8.66% |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | -2.16% |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 9.15% |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 20.97% |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 8.23% |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 17.78% |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 10.06% |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 58.46% |
| 10 | Sifco Industries | 139.46 Mn | 137.49 Mn | 3.42 Mn | -0.15% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.15% |
| Mar 31, 2026 | 10.02% |
| Dec 31, 2025 | 7.47% |
| Sep 30, 2025 | -1.88% |
| Jun 30, 2025 | 15.42% |
| Mar 31, 2025 | -7.32% |
| Dec 31, 2024 | -11.09% |
| Sep 30, 2024 | -2.05% |
| Jun 30, 2024 | 0.33% |
| Mar 31, 2024 | -7.75% |
| Dec 31, 2023 | -22.11% |
| Sep 30, 2023 | -16.30% |
| Jun 30, 2023 | -4.12% |
| Mar 31, 2023 | -16.49% |
| Dec 31, 2022 | -14.97% |
| Sep 30, 2022 | -37.14% |
| Jun 30, 2022 | -12.44% |
| Mar 31, 2022 | 14.81% |
| Dec 31, 2021 | -19.18% |
| Sep 30, 2021 | -10.28% |
Sifco Industries Net Margin 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=net-margin&ticker=SIF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=SIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();