Forrester Research (FORR) Receivables (2010 - 2026)
Forrester Research's Receivables came in at $36.11 million for Q2 2026, down 10.3% from $40.24 million a year earlier and down 11.7% from the prior quarter.
Forrester Research (FORR) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Forrester Research's Receivables was $50.85 million, down 8.4% from FY2024.
- Receivables has declined in each of the last four years, with a five-year compound annual growth rate of -9.7% (FY2020 to FY2025).
- Going back by year, Receivables was $55.49 million in FY2024 (-5.9%), $59 million in FY2023 (-19.6%), $73.35 million in FY2022 (-15.7%) and $86.97 million in FY2021 (+2.7%).
- The five-year range for quarterly Receivables is $33.59 million (Q3 2025) to $86.97 million (Q4 2021).
- Year-over-year, Receivables has declined for eight consecutive quarters, with an average decline of 10.7% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in Q2 2024 (growth of 3.1%), and the weakest in Q2 2023 (a decline of 21.6%).
- Business Quant data shows FORR's Receivables at $40.9 million (Q1 2026), $50.85 million (Q4 2025) and $33.59 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 18.08 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 1.56 Bn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 1.49 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 2.34 Bn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 238.99 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 2.58 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 710.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.20 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | 1.26 Bn |
| 10 | Forrester Research | 223.50 Mn | -38.37 Mn | 56.52 Mn | 36.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.11 Mn |
| Mar 31, 2026 | 40.90 Mn |
| Dec 31, 2025 | 50.85 Mn |
| Sep 30, 2025 | 33.59 Mn |
| Jun 30, 2025 | 40.24 Mn |
| Mar 31, 2025 | 43.25 Mn |
| Dec 31, 2024 | 55.49 Mn |
| Sep 30, 2024 | 39.17 Mn |
| Jun 30, 2024 | 47.70 Mn |
| Mar 31, 2024 | 54.72 Mn |
| Dec 31, 2023 | 59.00 Mn |
| Sep 30, 2023 | 41.02 Mn |
| Jun 30, 2023 | 46.28 Mn |
| Mar 31, 2023 | 58.92 Mn |
| Dec 31, 2022 | 73.35 Mn |
| Sep 30, 2022 | 50.60 Mn |
| Jun 30, 2022 | 59.01 Mn |
| Mar 31, 2022 | 70.26 Mn |
| Dec 31, 2021 | 86.97 Mn |
| Sep 30, 2021 | 52.32 Mn |
Forrester Research Receivables 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=receivables&ticker=FORR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=FORR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();