Sifco Industries (SIF) Change in Acquisitions & Divestments (2016 - 2019)
Sifco Industries (SIF) reported Change in Acquisitions & Divestments of -$5.48 million for FY2023 (year ended Sep 30, 2023), compared with -$4.13 million in FY2022.
Sifco Industries (SIF) Change in Acquisitions & Divestments (2016 - 2019) Analysis & Trends
Dating back to FY2016, Sifco Industries' Change in Acquisitions & Divestments record includes 8 fiscal years.
- The FY2023 figure ranks as the lowest annual Change in Acquisitions & Divestments since FY2019.
- According to Business Quant data, Change in Acquisitions & Divestments came in at -$4.13 million in FY2022, -$3.61 million in FY2021, -$3.21 million in FY2020 and -$6.36 million in FY2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | Sifco Industries | 147.41 Mn | 145.43 Mn | 3.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | -2.92 Mn |
| Jun 30, 2019 | -112,000.00 |
| Mar 31, 2019 | -1.54 Mn |
| Dec 31, 2018 | -1.79 Mn |
| Sep 30, 2018 | -1.79 Mn |
| Jun 30, 2018 | -1.65 Mn |
| Mar 31, 2018 | -1.49 Mn |
| Dec 31, 2017 | -1.60 Mn |
| Sep 30, 2017 | -780,000.00 |
| Jun 30, 2017 | -319,000.00 |
| Dec 31, 2016 | -2.33 Mn |
Sifco Industries Change in Acquisitions & Divestments 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=change-in-acquisitions-and-divestments&ticker=SIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-acquisitions-and-divestments", "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=change-in-acquisitions-and-divestments&ticker=SIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();