Signet Jewelers (SIG) Non Operating Interest Expenses (2009 - 2023)
Signet Jewelers (SIG) recorded Non Operating Interest Expenses of $2.1 million in fiscal Q4 2023 (quarter ended Jan 28, 2023), down 53.3% from $4.5 million a year earlier and down 41.7% from the prior quarter.
Signet Jewelers (SIG) Non Operating Interest Expenses (2009 - 2023) Analysis & Trends
For FY2023 (ended Jan 28, 2023), Signet Jewelers reported Non Operating Interest Expenses of $13.5 million, down 20.1% from FY2022.
- Annual Non Operating Interest Expenses has declined for five straight fiscal years, with a five-year compound annual growth rate of -23.8% (FY2018 to FY2023).
- Across earlier fiscal years, Non Operating Interest Expenses came in at $16.9 million in FY2022 (-47.2%), $32 million in FY2021 (-10.1%), $35.6 million in FY2020 (-10.3%) and $39.7 million in FY2019 (-24.7%).
- The fiscal Q4 2023 figure is the lowest quarterly Non Operating Interest Expenses since fiscal Q1 2015.
- On a year-over-year basis, Non Operating Interest Expenses has declined for three consecutive quarters, with an average decline of 32.3% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 12.8% in fiscal Q1 2023, against a decline of 54.9% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.6 million (Q3 2023), $3.4 million (Q2 2023) and $4.4 million (Q1 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 583.00 Mn |
| 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 | 98.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 69.87 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 101.00 Mn |
| 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
| Date | Value |
|---|---|
| Jan 28, 2023 | 2.10 Mn |
| Oct 29, 2022 | 3.60 Mn |
| Jul 30, 2022 | 3.40 Mn |
| Apr 30, 2022 | 4.40 Mn |
| Jan 29, 2022 | 4.50 Mn |
| Oct 30, 2021 | 4.10 Mn |
| Jul 31, 2021 | 4.40 Mn |
| May 1, 2021 | 3.90 Mn |
| Jan 30, 2021 | 6.40 Mn |
| Oct 31, 2020 | 9.10 Mn |
| Aug 1, 2020 | 9.40 Mn |
| May 2, 2020 | 7.10 Mn |
| Feb 1, 2020 | 7.70 Mn |
| Nov 2, 2019 | 8.60 Mn |
| Aug 3, 2019 | 10.10 Mn |
| May 4, 2019 | 9.20 Mn |
| Feb 2, 2019 | 10.80 Mn |
| Nov 3, 2018 | 10.60 Mn |
| Aug 4, 2018 | 9.40 Mn |
| May 5, 2018 | 8.90 Mn |
Signet Jewelers Non Operating Interest 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=non-operating-interest-expenses&ticker=SIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=SIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();