Forrester Research (FORR) Total Non-Current Liabilities (2010 - 2026)
Forrester Research's Total Non-Current Liabilities was $292.91 million in Q2 2026, up 9.6% from $267.35 million a year earlier but down 2.4% from the prior quarter.
Forrester Research (FORR) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Forrester Research came in at $275.46 million, up 4.4% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -8.7% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $263.78 million in FY2024 (-15.7%), $312.75 million in FY2023 (-15.5%), $370.14 million in FY2022 (-18.2%) and $452.37 million in FY2021 (+3.9%).
- Quarterly Total Non-Current Liabilities has moved between $248.9 million (Q3 2025) and $452.37 million (Q4 2021) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for three straight quarters, with an average decline of 2.9% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2026 (growth of 9.6%); the worst was Q3 2022 (a decline of 18.8%).
- Per Business Quant data, FORR's Total Non-Current Liabilities in the three quarters before Q2 2026 was $300.23 million (Q1 2026), $275.46 million (Q4 2025) and $248.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 2.70 Bn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 6.29 Bn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 1.79 Bn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 9.92 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 1.41 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | -6.00 Mn |
| 10 | Forrester Research | 223.50 Mn | -38.37 Mn | 56.52 Mn | 292.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 292.91 Mn |
| Mar 31, 2026 | 300.23 Mn |
| Dec 31, 2025 | 275.46 Mn |
| Sep 30, 2025 | 248.90 Mn |
| Jun 30, 2025 | 267.35 Mn |
| Mar 31, 2025 | 280.69 Mn |
| Dec 31, 2024 | 263.78 Mn |
| Sep 30, 2024 | 261.42 Mn |
| Jun 30, 2024 | 277.93 Mn |
| Mar 31, 2024 | 310.58 Mn |
| Dec 31, 2023 | 312.75 Mn |
| Sep 30, 2023 | 291.49 Mn |
| Jun 30, 2023 | 323.36 Mn |
| Mar 31, 2023 | 352.83 Mn |
| Dec 31, 2022 | 370.14 Mn |
| Sep 30, 2022 | 350.61 Mn |
| Jun 30, 2022 | 384.56 Mn |
| Mar 31, 2022 | 426.95 Mn |
| Dec 31, 2021 | 452.37 Mn |
| Sep 30, 2021 | 431.61 Mn |
Forrester Research Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=FORR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=FORR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();