Forrester Research (FORR) Property, Plant & Equipment (Net) (2010 - 2026)
Forrester Research (FORR) recorded Property, Plant & Equipment (Net) of $31.73 million in Q2 2026, up 214.3% from $10.1 million a year earlier and up 60.0% from the prior quarter.
Forrester Research (FORR) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Forrester Research reported Property, Plant & Equipment (Net) of $11.22 million, down 4.1% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for four straight years, with a five-year compound annual growth rate of -16.1% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $11.7 million in FY2024 (-39.7%), $19.4 million in FY2023 (-16.4%), $23.21 million in FY2022 (-17.8%) and $28.25 million in FY2021 (+4.5%).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) since Q4 2014.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in two of the last eight quarters, with growth averaging 14.3%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 214.3% in Q2 2026, against a decline of 39.7% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $19.83 million (Q1 2026), $11.22 million (Q4 2025) and $9.7 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 | Forrester Research | 216.37 Mn | -45.51 Mn | 56.52 Mn | 31.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.73 Mn |
| Mar 31, 2026 | 19.83 Mn |
| Dec 31, 2025 | 11.22 Mn |
| Sep 30, 2025 | 9.70 Mn |
| Jun 30, 2025 | 10.10 Mn |
| Mar 31, 2025 | 11.00 Mn |
| Dec 31, 2024 | 11.70 Mn |
| Sep 30, 2024 | 12.69 Mn |
| Jun 30, 2024 | 16.61 Mn |
| Mar 31, 2024 | 17.79 Mn |
| Dec 31, 2023 | 19.40 Mn |
| Sep 30, 2023 | 19.69 Mn |
| Jun 30, 2023 | 20.71 Mn |
| Mar 31, 2023 | 22.42 Mn |
| Dec 31, 2022 | 23.21 Mn |
| Sep 30, 2022 | 25.05 Mn |
| Jun 30, 2022 | 26.16 Mn |
| Mar 31, 2022 | 27.06 Mn |
| Dec 31, 2021 | 28.25 Mn |
| Sep 30, 2021 | 29.74 Mn |
Forrester Research 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=FORR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "FORR", "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=FORR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();