Signet Jewelers (SIG) Accumulated Expenses (2009 - 2023)
Signet Jewelers (SIG) posted Accumulated Expenses of $386.7 million for fiscal Q2 2024 (quarter ended Jul 29, 2023), down 35.4% from $598.5 million a year earlier but up 2.3% from the prior quarter.
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Analysis
Signet Jewelers (SIG) Accumulated Expenses (2009 - 2023) Analysis & Trends
At the end of FY2023 (ended Jan 28, 2023), Signet Jewelers' Accumulated Expenses came in at $638.7 million, up 27.3% from FY2022.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 7.4% (FY2018 to FY2023).
- In prior fiscal years, Signet Jewelers' Accumulated Expenses was $501.6 million in FY2022 (+1.5%), $494.1 million in FY2021 (-29.1%), $697 million in FY2020 (+38.6%) and $502.8 million in FY2019 (+12.2%).
- Quarterly Accumulated Expenses has run from a low of $378.1 million in fiscal Q1 2024 to a high of $697 million in fiscal Q4 2020 over five years.
- On a year-over-year basis, Accumulated Expenses increased in five of the last eight quarters, with growth averaging 3.6%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q1 2021, with growth of 51.4%; the weakest was fiscal Q1 2024, with a decline of 38.1%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $378.1 million (Q1 2024), $638.7 million (Q4 2023) and $623.2 million (Q3 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Signet Jewelers | 3.96 Bn | 1.73 Bn | 602.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 29, 2023 | 386.70 Mn |
| Apr 29, 2023 | 378.10 Mn |
| Jan 28, 2023 | 638.70 Mn |
| Oct 29, 2022 | 623.20 Mn |
| Jul 30, 2022 | 598.50 Mn |
| Apr 30, 2022 | 610.60 Mn |
| Jan 29, 2022 | 501.60 Mn |
| Oct 30, 2021 | 469.20 Mn |
| Jul 31, 2021 | 463.90 Mn |
| May 1, 2021 | 517.20 Mn |
| Jan 30, 2021 | 494.10 Mn |
| Oct 31, 2020 | 500.00 Mn |
| Aug 1, 2020 | 442.00 Mn |
| May 2, 2020 | 636.10 Mn |
| Feb 1, 2020 | 697.00 Mn |
| Nov 2, 2019 | 434.60 Mn |
| Aug 3, 2019 | 418.00 Mn |
| May 4, 2019 | 420.20 Mn |
| Feb 2, 2019 | 502.80 Mn |
| Nov 3, 2018 | 431.30 Mn |
API Access
Signet Jewelers Accumulated Expenses 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=accumulated-expenses&ticker=SIG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();