Sifco Industries (SIF) Intangibles (2011 - 2024)
Sifco Industries (SIF) posted Intangibles of $161,000 for fiscal Q3 2024 (quarter ended Jun 30, 2024), down 51.7% from $333,000 a year earlier and down 20.7% from the prior quarter.
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Analysis
Sifco Industries (SIF) Intangibles (2011 - 2024) Analysis & Trends
At the end of FY2023 (ended Sep 30, 2023), Sifco Industries' Intangibles came in at $278,000, down 41.7% from FY2022.
- Annual Intangibles has declined for eight consecutive fiscal years, with a five-year compound annual growth rate of -44.1% (FY2018 to FY2023).
- In prior fiscal years, Sifco Industries' Intangibles was $477,000 in FY2022 (-45.4%), $874,000 in FY2021 (-53.8%), $1.89 million in FY2020 (-43.1%) and $3.32 million in FY2019 (-34.6%).
- The fiscal Q3 2024 figure stands as the lowest quarterly Intangibles in data going back to fiscal Q3 2011.
- On a year-over-year basis, Intangibles has declined in each of the last 32 quarters, with an average decline of 44.1% over the last eight quarters.
- Across the past five years, year-over-year decline in Intangibles ran from 34.6% in fiscal Q4 2019 to 55.4% in fiscal Q1 2022.
- According to Business Quant data, Intangibles for the three prior fiscal quarters was $203,000 (Q2 2024), $248,000 (Q1 2024) and $278,000 (Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 4.09 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 31.04 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 1.53 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 1.79 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 869.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 1.28 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 2.95 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 | 6.41 Bn |
| 10 | Sifco Industries | 140.59 Mn | 138.61 Mn | 3.42 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 161,000.00 |
| Mar 31, 2024 | 203,000.00 |
| Dec 31, 2023 | 248,000.00 |
| Sep 30, 2023 | 278,000.00 |
| Jun 30, 2023 | 333,000.00 |
| Mar 31, 2023 | 395,000.00 |
| Dec 31, 2022 | 453,000.00 |
| Sep 30, 2022 | 477,000.00 |
| Jun 30, 2022 | 567,000.00 |
| Mar 31, 2022 | 659,000.00 |
| Dec 31, 2021 | 738,000.00 |
| Sep 30, 2021 | 874,000.00 |
| Jun 30, 2021 | 1.14 Mn |
| Mar 31, 2021 | 1.38 Mn |
| Dec 31, 2020 | 1.66 Mn |
| Sep 30, 2020 | 1.89 Mn |
| Jun 30, 2020 | 2.13 Mn |
| Mar 31, 2020 | 2.52 Mn |
| Dec 31, 2019 | 2.95 Mn |
| Sep 30, 2019 | 3.32 Mn |
API Access
Sifco Industries 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=intangibles&ticker=SIF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=SIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();