Fortune Brands Innovations (FBIN) Net of Acquisitions & Divestments (2013 - 2024)
Analysis
Fortune Brands Innovations (FBIN) Net of Acquisitions & Divestments (2013 - 2024) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.75 Bn | 97.47 Bn | 2.26 Bn | -73.80 Mn |
| 2 | Johnson Controls International | 90.01 Bn | 87.74 Bn | 2.47 Bn | 122.00 Mn |
| 3 | Comfort Systems Usa | 51.61 Bn | 46.86 Bn | 844.23 Mn | -156.75 Mn |
| 4 | Carrier Global | 45.80 Bn | 40.11 Bn | 1.94 Bn | -24.00 Mn |
| 5 | Otis Worldwide | 27.26 Bn | 23.68 Bn | 1.14 Bn | -190.00 Mn |
| 6 | James Hardie Industries | 14.86 Bn | 13.93 Bn | 548.70 Mn | - |
| 7 | Masco | 14.53 Bn | 12.38 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.32 Bn | 12.03 Bn | 517.50 Mn | 200,000.00 |
| 9 | Carlisle Companies | 13.28 Bn | 9.63 Bn | 568.40 Mn | - |
| 10 | Fortune Brands Innovations | 4.80 Bn | 3.88 Bn | 590.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 28, 2024 | -6.40 Mn |
| Jun 29, 2024 | -23.80 Mn |
| Mar 30, 2024 | -105.20 Mn |
| Sep 30, 2023 | -2.30 Mn |
| Jul 1, 2023 | -781.80 Mn |
| Dec 31, 2022 | -3.60 Mn |
| Sep 30, 2022 | -152.40 Mn |
| Mar 31, 2022 | -61.60 Mn |
| Mar 31, 2021 | 5.20 Mn |
| Dec 31, 2018 | 400,000.00 |
| Sep 30, 2018 | -460.20 Mn |
| Mar 31, 2018 | -5.80 Mn |
| Dec 31, 2017 | -105.20 Mn |
| Sep 30, 2017 | -19.30 Mn |
| Mar 31, 2017 | -100,000.00 |
| Dec 31, 2016 | -9.20 Mn |
| Sep 30, 2016 | -149.30 Mn |
| Sep 30, 2015 | -300,000.00 |
| Jun 30, 2015 | -646.20 Mn |
| Mar 31, 2015 | -6.30 Mn |
API Access
Fortune Brands Innovations Net of 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=net-of-acquisitions-and-divestments&ticker=FBIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "ticker": "FBIN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-of-acquisitions-and-divestments&ticker=FBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();