Spar (SGRP) Cost of Revenue (2010 - 2026)
Spar's Cost of Revenue came in at $28.5 million for Q2 2026, down 3.6% from $29.57 million a year earlier but up 20.2% from the prior quarter.
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Analysis
Spar (SGRP) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Spar reported Cost of Revenue of $110.28 million, down 1.7% year-over-year; for FY2025, it was $114.41 million, down 12.0% from FY2024.
- Cost of Revenue has declined in each of the last three years, with a five-year compound annual growth rate of -9.2% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $130.03 million in FY2024 (-5.9%), $138.24 million in FY2023 (-31.4%), $201.45 million in FY2022 (+0.3%) and $200.8 million in FY2021 (+8.3%).
- The five-year range for quarterly Cost of Revenue is -$14 million (Q4 2023) to $54.46 million (Q3 2022).
- Year-over-year, Cost of Revenue has declined for three consecutive quarters, with an average decline of 10.7% over the last seven quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q3 2025 (growth of 14.9%), and the weakest in Q2 2023 (a decline of 35.0%).
- Business Quant data shows SGRP's Cost of Revenue at $23.71 million (Q1 2026), $24.35 million (Q4 2025) and $33.73 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 156.49 Bn | 114.42 Bn | 5.98 Bn | 12.69 Bn |
| 2 | Cintas | 89.36 Bn | 88.45 Bn | 1.55 Bn | 1.46 Bn |
| 3 | Iron Mountain | 33.13 Bn | 32.33 Bn | 1.06 Bn | 926.65 Mn |
| 4 | Rollins | 18.53 Bn | 18.08 Bn | 582.90 Mn | 506.77 Mn |
| 5 | APi | 18.33 Bn | 15.55 Bn | 770.00 Mn | 1.78 Bn |
| 6 | UL Solutions | 16.46 Bn | 14.45 Bn | 423.00 Mn | 400.00 Mn |
| 7 | Aramark | 14.43 Bn | 12.37 Bn | 430.34 Mn | 4.63 Bn |
| 8 | Gartner | 12.19 Bn | 5.67 Bn | 1.07 Bn | 433.14 Mn |
| 9 | Rentokil Initial | 12.05 Bn | 5.56 Bn | - | - |
| 10 | Spar | 17.04 Mn | -1.69 Mn | 8.41 Mn | 28.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.50 Mn |
| Mar 31, 2026 | 23.71 Mn |
| Dec 31, 2025 | 24.35 Mn |
| Sep 30, 2025 | 33.73 Mn |
| Jun 30, 2025 | 29.57 Mn |
| Mar 31, 2025 | 26.77 Mn |
| Dec 31, 2024 | 26.56 Mn |
| Sep 30, 2024 | 29.35 Mn |
| Jun 30, 2024 | 34.44 Mn |
| Mar 31, 2024 | 39.68 Mn |
| Dec 31, 2023 | -14.00 Mn |
| Sep 30, 2023 | 36.45 Mn |
| Jun 30, 2023 | 34.03 Mn |
| Mar 31, 2023 | 48.75 Mn |
| Dec 31, 2022 | 49.65 Mn |
| Sep 30, 2022 | 54.46 Mn |
| Jun 30, 2022 | 52.33 Mn |
| Mar 31, 2022 | 45.02 Mn |
| Dec 31, 2021 | 47.93 Mn |
| Sep 30, 2021 | 52.70 Mn |
API Access
Spar Cost of Revenue 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=cost-of-revenue&ticker=SGRP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SGRP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();