Signet Jewelers (SIG) EBITDA (2009 - 2026)
Signet Jewelers' EBITDA came in at $122.6 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 208.0% from $39.8 million a year earlier and up 71.2% from the prior quarter.
Signet Jewelers (SIG) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Signet Jewelers reported EBITDA of $609.9 million, up 69.2% year-over-year; for FY2026 (ended Jan 31, 2026), it was $540.6 million, up 108.8% from FY2025.
- EBITDA carries a five-year compound annual growth rate of 35.5% (FY2021 to FY2026).
- Going back by fiscal year, EBITDA was $258.9 million in FY2025 (-67.0%), $783.4 million in FY2024 (+1.8%), $769.4 million in FY2023 (-27.9%) and $1.07 billion in FY2022 (+801.9%).
- The five-year range for quarterly EBITDA is -$63 million (fiscal Q2 2025) to $448.8 million (fiscal Q4 2024).
- Year-over-year, EBITDA increased in three of the last seven quarters, with growth averaging 33.5%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q1 2024 (growth of 260.2%), and the weakest in fiscal Q1 2023 (a decline of 80.9%).
- Business Quant data shows SIG's EBITDA at $71.6 million (Q1 2027), $354.9 million (Q4 2026) and $60.8 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.08 Bn |
| 10 | Signet Jewelers | 4.00 Bn | 1.76 Bn | 602.40 Mn | 122.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 122.60 Mn |
| May 2, 2026 | 71.60 Mn |
| Jan 31, 2026 | 354.90 Mn |
| Nov 1, 2025 | 60.80 Mn |
| Aug 2, 2025 | 39.80 Mn |
| May 3, 2025 | 85.10 Mn |
| Feb 1, 2025 | 190.20 Mn |
| Nov 2, 2024 | 45.30 Mn |
| Aug 3, 2024 | -63.00 Mn |
| May 4, 2024 | 86.40 Mn |
| Feb 3, 2024 | 448.80 Mn |
| Oct 28, 2023 | 56.00 Mn |
| Jul 29, 2023 | 133.80 Mn |
| Apr 29, 2023 | 144.80 Mn |
| Jan 28, 2023 | 410.50 Mn |
| Oct 29, 2022 | 92.10 Mn |
| Jul 30, 2022 | 226.60 Mn |
| Apr 30, 2022 | 40.20 Mn |
| Jan 29, 2022 | 443.00 Mn |
| Oct 30, 2021 | 146.10 Mn |
Signet Jewelers EBITDA 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=ebitda&ticker=SIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();