Spar (SGRP) Price to Earnings (2011 - 2024)
Spar's Price to Earnings came in at 12.24 for Q3 2024, up 11.4% from the prior quarter.
Powered by 
Analysis
Spar (SGRP) Price to Earnings (2011 - 2024) Analysis & Trends
For FY2023, Spar's Price to Earnings was 6.07.
- Going back by year, Price to Earnings was 7.21 in FY2020 (-36.4%) and 11.34 in FY2019.
- The Q3 2024 figure represents the highest quarterly Price to Earnings since Q3 2020.
- Business Quant data shows SGRP's Price to Earnings at 11.00 (Q2 2024), 2.43 (Q1 2024) and 6.07 (Q4 2023) in the three quarters before Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 141.87 Bn | 102.28 Bn | 6.13 Bn |
| 2 | Cintas | 78.27 Bn | 77.46 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.11 Bn | 32.63 Bn | 1.07 Bn |
| 4 | APi | 17.29 Bn | 14.33 Bn | 703.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.27 Bn | 569.95 Mn |
| 6 | Aramark | 14.39 Bn | 12.40 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.43 Bn | 12.22 Bn | 417.00 Mn |
| 8 | Gartner | 12.17 Bn | 5.86 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.01 Bn | 3.35 Bn | - |
| 10 | Spar | 19.03 Mn | 302,035.67 | 8.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 12.24 |
| Jun 30, 2024 | 11.00 |
| Mar 31, 2024 | 2.43 |
| Dec 31, 2023 | 6.07 |
| Sep 30, 2021 | 6.39 |
| Jun 30, 2021 | 6.62 |
| Mar 31, 2021 | 8.95 |
| Dec 31, 2020 | 7.21 |
| Sep 30, 2020 | 22.50 |
| Jun 30, 2020 | 33.26 |
| Mar 31, 2020 | 6.53 |
| Dec 31, 2019 | 11.32 |
| Sep 30, 2019 | 8.64 |
| Jun 30, 2019 | 6.36 |
| Sep 30, 2017 | 50.25 |
| Jun 30, 2017 | 158.48 |
| Mar 31, 2017 | 300.99 |
| Dec 31, 2016 | 118.03 |
| Sep 30, 2016 | 18.70 |
| Jun 30, 2016 | 20.03 |
API Access
Spar Price to Earnings 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=price-to-earnings&ticker=SGRP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "SGRP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=SGRP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();