Sifco Industries (SIF) Amortization - Intangibles (2010 - 2024)
Sifco Industries' Amortization - Intangibles was -$121,000 in fiscal Q4 2024 (quarter ended Sep 30, 2024), compared with -$114,000 a year earlier.
Sifco Industries (SIF) Amortization - Intangibles (2010 - 2024) Analysis & Trends
For FY2023 (ended Sep 30, 2023), Amortization - Intangibles at Sifco Industries came in at $73,000, down 76.7% from FY2022.
- Amortization - Intangibles has now declined for seven consecutive fiscal years, with a five-year compound annual growth rate of -46.7% (FY2018 to FY2023).
- In earlier fiscal years, Amortization - Intangibles was $313,000 in FY2022 (-69.0%), $1.01 million in FY2021 (-32.5%), $1.5 million in FY2020 (-9.2%) and $1.65 million in FY2019 (-3.3%).
- The fiscal Q4 2024 figure marks the lowest quarterly Amortization - Intangibles in data going back to fiscal Q1 2011.
- Compared with a year earlier, Amortization - Intangibles was higher in 1 of the last six quarters, with an average decline of 26.4%.
- The best year-over-year quarter for Amortization - Intangibles over five years was fiscal Q3 2023 (growth of 1.6%); the worst was fiscal Q4 2022 (a decline of 75.2%).
- Per Business Quant data, SIF's Amortization - Intangibles in the three fiscal quarters before Q4 2024 was $40,000 (Q3 2024), $41,000 (Q2 2024) and $40,000 (Q1 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Sifco Industries | 140.59 Mn | 138.61 Mn | 3.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -121,000.00 |
| Jun 30, 2024 | 40,000.00 |
| Mar 31, 2024 | 41,000.00 |
| Dec 31, 2023 | 40,000.00 |
| Sep 30, 2023 | -114,000.00 |
| Jun 30, 2023 | 63,000.00 |
| Mar 31, 2023 | 63,000.00 |
| Dec 31, 2022 | 61,000.00 |
| Sep 30, 2022 | 61,000.00 |
| Jun 30, 2022 | 62,000.00 |
| Mar 31, 2022 | 65,000.00 |
| Dec 31, 2021 | 125,000.00 |
| Sep 30, 2021 | 246,000.00 |
| Jun 30, 2021 | 248,000.00 |
| Mar 31, 2021 | 248,000.00 |
| Dec 31, 2020 | 269,000.00 |
| Sep 30, 2020 | 273,000.00 |
| Jun 30, 2020 | 408,000.00 |
| Mar 31, 2020 | 408,000.00 |
| Dec 31, 2019 | 409,000.00 |
Sifco Industries Amortization - Intangibles 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=amortization-intangibles&ticker=SIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=SIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();