Forrester Research (FORR) Non-Current Assets (2010 - 2026)
Forrester Research's Non-Current Assets came in at $194.48 million for Q2 2026, down 12.3% from $221.84 million a year earlier but up 2.0% from the prior quarter.
Forrester Research (FORR) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Forrester Research's Non-Current Assets was $191.35 million, down 36.7% from FY2024.
- Non-Current Assets has declined in each of the last six years, with a five-year compound annual growth rate of -14.8% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $302.5 million in FY2024 (-13.1%), $348.17 million in FY2023 (-6.7%), $373.15 million in FY2022 (-9.1%) and $410.64 million in FY2021 (-3.8%).
- The five-year range for quarterly Non-Current Assets is $190.7 million (Q1 2026) to $416.67 million (Q3 2021).
- Year-over-year, Non-Current Assets has declined for 26 consecutive quarters, with an average decline of 23.0% over the last eight quarters.
- Across the past five years, year-over-year decline in Non-Current Assets ran from 3.8% in Q4 2021 to 36.7% in Q4 2025.
- Business Quant data shows FORR's Non-Current Assets at $190.7 million (Q1 2026), $191.35 million (Q4 2025) and $220.54 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 39.87 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 6.68 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 19.85 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 6.42 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 2.76 Bn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 10.12 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 1.89 Bn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 3.97 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | 10.46 Bn |
| 10 | Forrester Research | 221.96 Mn | -39.92 Mn | 56.52 Mn | 194.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 194.48 Mn |
| Mar 31, 2026 | 190.70 Mn |
| Dec 31, 2025 | 191.35 Mn |
| Sep 30, 2025 | 220.54 Mn |
| Jun 30, 2025 | 221.84 Mn |
| Mar 31, 2025 | 221.31 Mn |
| Dec 31, 2024 | 302.50 Mn |
| Sep 30, 2024 | 311.39 Mn |
| Jun 30, 2024 | 330.74 Mn |
| Mar 31, 2024 | 337.09 Mn |
| Dec 31, 2023 | 348.17 Mn |
| Sep 30, 2023 | 351.17 Mn |
| Jun 30, 2023 | 360.45 Mn |
| Mar 31, 2023 | 368.04 Mn |
| Dec 31, 2022 | 373.15 Mn |
| Sep 30, 2022 | 380.96 Mn |
| Jun 30, 2022 | 392.38 Mn |
| Mar 31, 2022 | 402.54 Mn |
| Dec 31, 2021 | 410.64 Mn |
| Sep 30, 2021 | 416.67 Mn |
Forrester Research Non-Current Assets 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=non-current-assets&ticker=FORR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=FORR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();