Signet Jewelers (SIG) Operating Expenses (2009 - 2026)
Signet Jewelers (SIG) posted Operating Expenses of $493.6 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 2.3% from $505.3 million a year earlier and down 3.1% from the prior quarter.
Signet Jewelers (SIG) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Operating Expenses at Signet Jewelers was $2.15 billion, up 0.2% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $2.17 billion, up 2.4% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 5.9% (FY2021 to FY2026).
- In prior fiscal years, Signet Jewelers' Operating Expenses was $2.12 billion in FY2025 (-3.4%), $2.2 billion in FY2024 (-0.8%), $2.21 billion in FY2023 (-0.6%) and $2.23 billion in FY2022 (+36.4%).
- Quarterly Operating Expenses has run from a low of $468.8 million in fiscal Q3 2022 to a high of $745.8 million in fiscal Q4 2022 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with an average decline of 0.5%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2022, with growth of 29.7%; the weakest was fiscal Q4 2023, with a decline of 5.8%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $509.6 million (Q1 2027), $656.6 million (Q4 2026) and $485.3 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Signet Jewelers | 4.00 Bn | 1.76 Bn | 602.40 Mn | 493.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 493.60 Mn |
| May 2, 2026 | 509.60 Mn |
| Jan 31, 2026 | 656.60 Mn |
| Nov 1, 2025 | 485.30 Mn |
| Aug 2, 2025 | 505.30 Mn |
| May 3, 2025 | 526.00 Mn |
| Feb 1, 2025 | 639.20 Mn |
| Nov 2, 2024 | 469.60 Mn |
| Aug 3, 2024 | 498.40 Mn |
| May 4, 2024 | 515.40 Mn |
| Feb 3, 2024 | 671.90 Mn |
| Oct 28, 2023 | 484.20 Mn |
| Jul 29, 2023 | 511.20 Mn |
| Apr 29, 2023 | 530.40 Mn |
| Jan 28, 2023 | 702.50 Mn |
| Oct 29, 2022 | 501.70 Mn |
| Jul 30, 2022 | 477.30 Mn |
| Apr 30, 2022 | 533.10 Mn |
| Jan 29, 2022 | 745.80 Mn |
| Oct 30, 2021 | 468.80 Mn |
Signet Jewelers Operating 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=operating-expenses&ticker=SIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=SIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();