APi (APG) Property, Plant & Equipment (Net) (2019 - 2026)
APi's Property, Plant & Equipment (Net) was $429 million in Q2 2026, up 12.3% from $382 million a year earlier and up 7.0% from the prior quarter.
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Analysis
APi (APG) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at APi came in at $397 million, up 4.7% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $379 million in FY2024 (-1.6%), $385 million in FY2023 (-5.4%), $407 million in FY2022 (+24.8%) and $326 million in FY2021 (-8.2%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2019.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for four straight quarters, with growth averaging 3.3% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2022 (growth of 24.8%); the worst was Q1 2024 (a decline of 9.0%).
- Per Business Quant data, APG's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $401 million (Q1 2026), $397 million (Q4 2025) and $393 million (Q3 2025).
Peer Set
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 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 63.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 429.00 Mn |
| Mar 31, 2026 | 401.00 Mn |
| Dec 31, 2025 | 397.00 Mn |
| Sep 30, 2025 | 393.00 Mn |
| Jun 30, 2025 | 382.00 Mn |
| Mar 31, 2025 | 372.00 Mn |
| Dec 31, 2024 | 379.00 Mn |
| Sep 30, 2024 | 387.00 Mn |
| Jun 30, 2024 | 383.00 Mn |
| Mar 31, 2024 | 375.00 Mn |
| Dec 31, 2023 | 385.00 Mn |
| Sep 30, 2023 | 377.00 Mn |
| Jun 30, 2023 | 418.00 Mn |
| Mar 31, 2023 | 412.00 Mn |
| Dec 31, 2022 | 407.00 Mn |
| Sep 30, 2022 | 399.00 Mn |
| Jun 30, 2022 | 388.00 Mn |
| Mar 31, 2022 | 384.00 Mn |
| Dec 31, 2021 | 326.00 Mn |
| Sep 30, 2021 | 337.00 Mn |
API Access
APi 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=APG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=APG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();