Sifco Industries (SIF) Cost of Revenue (2010 - 2026)
Sifco Industries (SIF) reported Cost of Revenue of $22.72 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 40.3% from $16.2 million a year earlier and up 9.3% from the prior quarter.
Sifco Industries (SIF) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Sifco Industries' Cost of Revenue came in at $82.91 million, up 13.7% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $74.23 million, up 0.8% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- By fiscal year, Cost of Revenue came in at $73.65 million in FY2024 (+17.4%), $62.72 million in FY2023 (-26.9%), $85.76 million in FY2022 (-3.0%) and $88.39 million in FY2021 (-5.6%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Cost of Revenue since fiscal Q2 2022.
- Year over year, Cost of Revenue gained in five of the last eight quarters, with growth averaging 30.7%.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q4 2024 (growth of 184.9%); the low point was fiscal Q4 2023 (a decline of 69.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $20.78 million (Q2 2026), $18.78 million (Q1 2026) and $20.62 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.67 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 19.58 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 22.15 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 17.62 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 1.60 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 11.91 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.46 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 8.76 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 6.07 Bn |
| 10 | Sifco Industries | 147.41 Mn | 145.43 Mn | 3.42 Mn | 22.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.72 Mn |
| Mar 31, 2026 | 20.78 Mn |
| Dec 31, 2025 | 18.78 Mn |
| Sep 30, 2025 | 20.62 Mn |
| Jun 30, 2025 | 16.20 Mn |
| Mar 31, 2025 | 17.46 Mn |
| Dec 31, 2024 | 19.96 Mn |
| Sep 30, 2024 | 19.34 Mn |
| Jun 30, 2024 | 19.27 Mn |
| Mar 31, 2024 | 19.02 Mn |
| Dec 31, 2023 | 16.02 Mn |
| Sep 30, 2023 | 6.79 Mn |
| Jun 30, 2023 | 18.38 Mn |
| Mar 31, 2023 | 17.52 Mn |
| Dec 31, 2022 | 20.04 Mn |
| Sep 30, 2022 | 22.33 Mn |
| Jun 30, 2022 | 21.08 Mn |
| Mar 31, 2022 | 23.11 Mn |
| Dec 31, 2021 | 19.24 Mn |
| Sep 30, 2021 | 23.07 Mn |
Sifco Industries Cost of 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=cost-of-revenue&ticker=SIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=SIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();