Forrester Research (FORR) Non Operating Interest Expenses (2019 - 2022)
Forrester Research's Non Operating Interest Expenses was $729,000 in Q4 2022, down 24.9% from $971,000 a year earlier but up 24.8% from the prior quarter.
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Analysis
Forrester Research (FORR) Non Operating Interest Expenses (2019 - 2022) Analysis & Trends
For FY2022, Non Operating Interest Expenses at Forrester Research came in at $2.46 million, down 41.7% from FY2021.
- Non Operating Interest Expenses has now declined for three consecutive years, with a three-year compound annual growth rate of -32.6% (FY2019 to FY2022).
- In earlier years, Non Operating Interest Expenses was $4.22 million in FY2021 (-20.9%), $5.34 million in FY2020 (-33.7%) and $8.05 million in FY2019.
- Quarterly Non Operating Interest Expenses has moved between $535,000 (Q2 2022) and $2.35 million (Q1 2019) over five years.
- Compared with a year earlier, Non Operating Interest Expenses has declined for 12 straight quarters, with an average decline of 31.0% over the last eight quarters.
- The year-over-year decline in Non Operating Interest Expenses has ranged between 16.1% (Q3 2021) and 49.8% (Q2 2022) over the last five years.
- Per Business Quant data, FORR's Non Operating Interest Expenses in the three quarters before Q4 2022 was $584,000 (Q3 2022), $535,000 (Q2 2022) and $613,000 (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 25.84 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | - |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 9.39 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Forrester Research | 221.96 Mn | -39.92 Mn | 56.52 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 729,000.00 |
| Sep 30, 2022 | 584,000.00 |
| Jun 30, 2022 | 535,000.00 |
| Mar 31, 2022 | 613,000.00 |
| Dec 31, 2021 | 971,000.00 |
| Sep 30, 2021 | 1.06 Mn |
| Jun 30, 2021 | 1.07 Mn |
| Mar 31, 2021 | 1.13 Mn |
| Dec 31, 2020 | 1.24 Mn |
| Sep 30, 2020 | 1.26 Mn |
| Jun 30, 2020 | 1.31 Mn |
| Mar 31, 2020 | 1.54 Mn |
| Dec 31, 2019 | 1.71 Mn |
| Sep 30, 2019 | 1.90 Mn |
| Jun 30, 2019 | 2.09 Mn |
| Mar 31, 2019 | 2.35 Mn |
API Access
Forrester Research Non Operating Interest Expenses 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-operating-interest-expenses&ticker=FORR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=FORR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();