Spar (SGRP) Property, Plant & Equipment (Net) (2010 - 2026)
Spar (SGRP) recorded Property, Plant & Equipment (Net) of $4.07 million in Q2 2026, up 24.5% from $3.27 million a year earlier and up 5.9% from the prior quarter.
Spar (SGRP) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Spar reported Property, Plant & Equipment (Net) of $3.6 million, up 78.7% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $2.02 million in FY2024 (-25.8%), $2.72 million in FY2023 (-16.7%), $3.26 million in FY2022 (+11.3%) and $2.93 million in FY2021 (+4.8%).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for six consecutive quarters, with growth averaging 21.7% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 78.7% in Q4 2025, against a decline of 30.8% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.84 million (Q1 2026), $3.6 million (Q4 2025) and $3.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 1.62 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 1.74 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 10.27 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 429.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 1.74 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 126.69 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 766.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 199.25 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | 443.00 Mn |
| 10 | Spar | 19.03 Mn | 302,035.67 | 8.41 Mn | 4.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.07 Mn |
| Mar 31, 2026 | 3.84 Mn |
| Dec 31, 2025 | 3.60 Mn |
| Sep 30, 2025 | 3.27 Mn |
| Jun 30, 2025 | 3.27 Mn |
| Mar 31, 2025 | 2.91 Mn |
| Dec 31, 2024 | 2.02 Mn |
| Sep 30, 2024 | 2.14 Mn |
| Jun 30, 2024 | 2.47 Mn |
| Mar 31, 2024 | 2.64 Mn |
| Dec 31, 2023 | 2.72 Mn |
| Sep 30, 2023 | 3.09 Mn |
| Jun 30, 2023 | 3.17 Mn |
| Mar 31, 2023 | 3.20 Mn |
| Dec 31, 2022 | 3.26 Mn |
| Sep 30, 2022 | 2.97 Mn |
| Jun 30, 2022 | 2.92 Mn |
| Mar 31, 2022 | 3.01 Mn |
| Dec 31, 2021 | 2.93 Mn |
| Sep 30, 2021 | 3.04 Mn |
Spar Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SGRP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SGRP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();