Spar (SGRP) Revenue (2010 - 2026)
Spar (SGRP) posted Revenue of $36.91 million for Q2 2026, down 4.5% from $38.63 million a year earlier but up 20.9% from the prior quarter.
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Analysis
Spar (SGRP) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Spar was $130.86 million, down 8.8% year-over-year; for FY2025, it was $136.1 million, down 16.8% from FY2024.
- Annual Revenue has declined for three consecutive years, with a five-year compound annual growth rate of -10.0% (FY2020 to FY2025).
- In prior years, Spar's Revenue was $163.63 million in FY2024 (-12.9%), $187.87 million in FY2023 (-28.1%), $261.27 million in FY2022 (+2.2%) and $255.72 million in FY2021 (+10.9%).
- Quarterly Revenue has run from a low of -$9.78 million in Q4 2023 to a high of $69.83 million in Q3 2022 over five years.
- On a year-over-year basis, Revenue has declined in each of the last three quarters, with an average decline of 14.7% over the last seven quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q3 2021, with growth of 14.5%; the weakest was Q4 2025, with a decline of 33.4%.
- According to Business Quant data, Revenue for the three prior quarters was $30.52 million (Q1 2026), $22.02 million (Q4 2025) and $41.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 18.72 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 2.91 Bn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 2.03 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 2.25 Bn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 1.08 Bn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 5.06 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 816.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.68 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Spar | 19.31 Mn | 586,021.00 | 8.41 Mn | 36.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.91 Mn |
| Mar 31, 2026 | 30.52 Mn |
| Dec 31, 2025 | 22.02 Mn |
| Sep 30, 2025 | 41.42 Mn |
| Jun 30, 2025 | 38.63 Mn |
| Mar 31, 2025 | 34.04 Mn |
| Dec 31, 2024 | 33.04 Mn |
| Sep 30, 2024 | 37.79 Mn |
| Jun 30, 2024 | 43.40 Mn |
| Mar 31, 2024 | 49.40 Mn |
| Dec 31, 2023 | -9.78 Mn |
| Sep 30, 2023 | 48.71 Mn |
| Jun 30, 2023 | 45.92 Mn |
| Mar 31, 2023 | 64.38 Mn |
| Dec 31, 2022 | 64.64 Mn |
| Sep 30, 2022 | 69.83 Mn |
| Jun 30, 2022 | 67.80 Mn |
| Mar 31, 2022 | 58.99 Mn |
| Dec 31, 2021 | 60.02 Mn |
| Sep 30, 2021 | 67.42 Mn |
API Access
Spar 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=revenue&ticker=SGRP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=SGRP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();