Signet Jewelers (SIG) Acquisitions (2013 - 2023)
Signet Jewelers' Acquisitions was $6 million in FY2024 (year ended Feb 3, 2024), down 98.5% from $391.8 million in FY2023.
Analysis
Signet Jewelers (SIG) Acquisitions (2013 - 2023) Analysis & Trends
From FY2013 onward, Signet Jewelers has reported Acquisitions for 7 fiscal years.
- The FY2024 figure marks the lowest annual Acquisitions in data going back to FY2013.
- Per Business Quant data, Acquisitions in earlier fiscal years was $391.8 million in FY2023 (-24.0%) and $515.8 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 24.36 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 1.05 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | - |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | - |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 29.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | - |
| 10 | Signet Jewelers | 4.00 Bn | 1.76 Bn | 602.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 29, 2023 | 6.00 Mn |
| Jan 28, 2023 | -6.00 Mn |
| Oct 29, 2022 | 395.90 Mn |
| Apr 30, 2022 | 1.90 Mn |
| Jan 29, 2022 | 501.20 Mn |
| Oct 30, 2021 | 200,000.00 |
| May 1, 2021 | 14.40 Mn |
| Feb 3, 2018 | -600,000.00 |
| Jan 31, 2015 | 1.90 Mn |
| Aug 2, 2014 | 1.43 Bn |
| Feb 1, 2014 | 7.70 Mn |
| Aug 3, 2013 | 1.40 Mn |
API Access
Signet Jewelers Acquisitions 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=acquisitions&ticker=SIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "SIG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=acquisitions&ticker=SIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();