Sifco Industries (SIF) Revenue (2010 - 2026)
Sifco Industries (SIF) reported Revenue of $26.15 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 18.3% from $22.1 million a year earlier but down 1.1% from the prior quarter.
Sifco Industries (SIF) Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Sifco Industries' Revenue came in at $99.37 million, up 18.8% year-over-year; for FY2025 (ended Sep 30, 2025), it was $84.82 million, up 6.5% from FY2024.
- Revenue has a five-year compound annual growth rate of -5.7% (FY2020 to FY2025).
- By fiscal year, Revenue came in at $79.63 million in FY2024 (+20.5%), $66.07 million in FY2023 (-21.3%), $83.9 million in FY2022 (-15.8%) and $99.59 million in FY2021 (-12.3%).
- Five-year quarterly Revenue spans a low of $14.35 million in fiscal Q2 2023 and a high of $26.44 million in fiscal Q2 2026.
- Year over year, Revenue has now increased in each of the last five quarters, with growth averaging 14.9% over the last eight quarters.
- The high point for year-over-year Revenue in five years was fiscal Q2 2024 (growth of 42.9%); the low point was fiscal Q2 2023 (a decline of 41.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $26.44 million (Q2 2026), $23.97 million (Q1 2026) and $22.81 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 13.35 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 24.71 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 24.56 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 20.06 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 2.55 Bn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 14.09 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 3.13 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 10.88 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 9.72 Bn |
| 10 | Sifco Industries | 141.28 Mn | 139.30 Mn | 3.42 Mn | 26.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.15 Mn |
| Mar 31, 2026 | 26.44 Mn |
| Dec 31, 2025 | 23.97 Mn |
| Sep 30, 2025 | 22.81 Mn |
| Jun 30, 2025 | 22.10 Mn |
| Mar 31, 2025 | 19.03 Mn |
| Dec 31, 2024 | 20.88 Mn |
| Sep 30, 2024 | 21.66 Mn |
| Jun 30, 2024 | 21.99 Mn |
| Mar 31, 2024 | 20.52 Mn |
| Dec 31, 2023 | 15.47 Mn |
| Sep 30, 2023 | 19.03 Mn |
| Jun 30, 2023 | 15.39 Mn |
| Mar 31, 2023 | 14.35 Mn |
| Dec 31, 2022 | 17.29 Mn |
| Sep 30, 2022 | 18.63 Mn |
| Jun 30, 2022 | 21.45 Mn |
| Mar 31, 2022 | 24.57 Mn |
| Dec 31, 2021 | 19.25 Mn |
| Sep 30, 2021 | 24.32 Mn |
Sifco Industries Revenue 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=revenue&ticker=SIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();