Forrester Research (FORR) Revenue (2010 - 2026)
Forrester Research (FORR) posted Revenue of $100.23 million for Q2 2026, down 10.2% from $111.66 million a year earlier but up 17.3% from the prior quarter.
Forrester Research (FORR) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Forrester Research was $381.05 million, down 7.5% year-over-year; for FY2025, it came in at $396.9 million, down 8.2% from FY2024.
- Annual Revenue has declined for three consecutive years, with a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- In prior years, Forrester Research's Revenue was $432.47 million in FY2024 (-10.0%), $480.78 million in FY2023 (-10.6%), $537.79 million in FY2022 (+8.8%) and $494.32 million in FY2021 (+10.1%).
- Quarterly Revenue has run from a low of $85.45 million in Q1 2026 to a high of $148.25 million in Q2 2022 over five years.
- On a year-over-year basis, Revenue has declined in each of the last 14 quarters, with an average decline of 8.3% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q2 2022, with growth of 15.2%; the weakest was Q4 2023, with a decline of 13.7%.
- According to Business Quant data, Revenue for the three prior quarters was $85.45 million (Q1 2026), $101.07 million (Q4 2025) and $94.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 18.72 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 2.91 Bn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 2.03 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 2.25 Bn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 1.08 Bn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 5.06 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 816.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.68 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Forrester Research | 223.50 Mn | -38.37 Mn | 56.52 Mn | 100.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100.23 Mn |
| Mar 31, 2026 | 85.45 Mn |
| Dec 31, 2025 | 101.07 Mn |
| Sep 30, 2025 | 94.30 Mn |
| Jun 30, 2025 | 111.66 Mn |
| Mar 31, 2025 | 89.88 Mn |
| Dec 31, 2024 | 108.04 Mn |
| Sep 30, 2024 | 102.53 Mn |
| Jun 30, 2024 | 121.83 Mn |
| Mar 31, 2024 | 100.08 Mn |
| Dec 31, 2023 | 118.09 Mn |
| Sep 30, 2023 | 113.43 Mn |
| Jun 30, 2023 | 135.59 Mn |
| Mar 31, 2023 | 113.67 Mn |
| Dec 31, 2022 | 136.89 Mn |
| Sep 30, 2022 | 127.68 Mn |
| Jun 30, 2022 | 148.25 Mn |
| Mar 31, 2022 | 124.97 Mn |
| Dec 31, 2021 | 133.73 Mn |
| Sep 30, 2021 | 118.14 Mn |
Forrester Research Revenue 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=revenue&ticker=FORR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=FORR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();