Spar (SGRP) Selling, General & Administrative (2010 - 2026)
Spar's Selling, General & Administrative came in at $6.77 million for Q2 2026, down 14.7% from $7.93 million a year earlier but up 9.2% from the prior quarter.
Powered by 
Analysis
Spar (SGRP) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Spar reported Selling, General & Administrative of $31.36 million, down 1.8% year-over-year; for FY2025, it was $32.2 million, down 5.0% from FY2024.
- Selling, General & Administrative has declined in each of the last three years, with a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $33.88 million in FY2024 (-7.5%), $36.63 million in FY2023 (-11.0%), $41.14 million in FY2022 (+11.8%) and $36.78 million in FY2021 (+10.3%).
- The five-year range for quarterly Selling, General & Administrative is $4.28 million (Q4 2023) to $11.18 million (Q4 2022).
- Year-over-year, Selling, General & Administrative increased in three of the last eight quarters, with growth averaging 10.5%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q4 2024 (growth of 123.3%), and the weakest in Q4 2023 (a decline of 61.7%).
- Business Quant data shows SGRP's Selling, General & Administrative at $6.2 million (Q1 2026), $9.2 million (Q4 2025) and $9.19 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 141.87 Bn | 102.28 Bn | 6.13 Bn | 1.15 Bn |
| 2 | Cintas | 78.27 Bn | 77.46 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.11 Bn | 32.63 Bn | 1.07 Bn | 402.34 Mn |
| 4 | APi | 17.29 Bn | 14.33 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.27 Bn | 569.95 Mn | 334.98 Mn |
| 6 | Aramark | 14.39 Bn | 12.40 Bn | 430.34 Mn | 78.63 Mn |
| 7 | UL Solutions | 13.43 Bn | 12.22 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 12.17 Bn | 5.86 Bn | 1.19 Bn | 764.59 Mn |
| 9 | Rentokil Initial | 10.01 Bn | 3.35 Bn | - | - |
| 10 | Spar | 19.03 Mn | 302,035.67 | 8.41 Mn | 6.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.77 Mn |
| Mar 31, 2026 | 6.20 Mn |
| Dec 31, 2025 | 9.20 Mn |
| Sep 30, 2025 | 9.19 Mn |
| Jun 30, 2025 | 7.93 Mn |
| Mar 31, 2025 | 5.87 Mn |
| Dec 31, 2024 | 9.56 Mn |
| Sep 30, 2024 | 8.56 Mn |
| Jun 30, 2024 | 8.07 Mn |
| Mar 31, 2024 | 7.72 Mn |
| Dec 31, 2023 | 4.28 Mn |
| Sep 30, 2023 | 9.34 Mn |
| Jun 30, 2023 | 8.80 Mn |
| Mar 31, 2023 | 10.46 Mn |
| Dec 31, 2022 | 11.18 Mn |
| Sep 30, 2022 | 10.61 Mn |
| Jun 30, 2022 | 10.08 Mn |
| Mar 31, 2022 | 9.25 Mn |
| Dec 31, 2021 | 8.76 Mn |
| Sep 30, 2021 | 9.43 Mn |
API Access
Spar Selling, General & Administrative 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=selling-general-and-administrative&ticker=SGRP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SGRP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();