APi (APG) Sales of Property, Plant and Equipment (2019 - 2026)
APi (APG) recorded Sales of Property, Plant and Equipment of $2 million in Q2 2026, down 66.7% from $6 million a year earlier and unchanged from the prior quarter.
APi (APG) Sales of Property, Plant and Equipment (2019 - 2026) Analysis & Trends
On a TTM basis, APi's Sales of Property, Plant and Equipment came in at $22 million as of Jun 30, 2026, up 37.5% year-over-year; for FY2025, it came in at $28 million, down 15.2% from FY2024.
- Annual Sales of Property, Plant and Equipment has a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- Across earlier years, Sales of Property, Plant and Equipment came in at $33 million in FY2024 (-38.9%), $54 million in FY2023 (+217.6%), $17 million in FY2022 (-15.0%) and $20 million in FY2021 (+17.6%).
- Quarterly Sales of Property, Plant and Equipment has ranged from $2 million in Q3 2021 to $41 million in Q4 2023 over the past five years.
- On a year-over-year basis, Sales of Property, Plant and Equipment rose in two of the last six quarters, with an average decline of 24.9%.
- Peak year-over-year performance for Sales of Property, Plant and Equipment in the last five years was growth of 485.7% in Q4 2023, against a decline of 82.6% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $2 million (Q1 2026), $15 million (Q4 2025) and $3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | - |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | - |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 3.85 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 2.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 3.86 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 497,000.00 |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | - |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.00 Mn |
| Mar 31, 2026 | 2.00 Mn |
| Dec 31, 2025 | 15.00 Mn |
| Sep 30, 2025 | 3.00 Mn |
| Jun 30, 2025 | 6.00 Mn |
| Mar 31, 2025 | 4.00 Mn |
| Sep 30, 2024 | 6.00 Mn |
| Jun 30, 2024 | 4.00 Mn |
| Mar 31, 2024 | 23.00 Mn |
| Dec 31, 2023 | 41.00 Mn |
| Sep 30, 2023 | 4.00 Mn |
| Jun 30, 2023 | 5.00 Mn |
| Mar 31, 2023 | 4.00 Mn |
| Dec 31, 2022 | 7.00 Mn |
| Sep 30, 2022 | 4.00 Mn |
| Jun 30, 2022 | 3.00 Mn |
| Mar 31, 2022 | 3.00 Mn |
| Dec 31, 2021 | 7.00 Mn |
| Sep 30, 2021 | 2.00 Mn |
| Jun 30, 2021 | 9.00 Mn |
APi Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=APG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "ticker": "APG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=sales-of-property-plant-and-equipment&ticker=APG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();