Fortrea Holdings (FTRE) Non Operating Interest Expenses (2022 - 2023)
Fortrea Holdings' Non Operating Interest Expenses was $34.5 million in Q4 2023, compared with $200,000 a year earlier and down 0.3% from the prior quarter.
Analysis
Fortrea Holdings (FTRE) Non Operating Interest Expenses (2022 - 2023) Analysis & Trends
For FY2023, Non Operating Interest Expenses at Fortrea Holdings came in at $69.8 million.
- In earlier years, Non Operating Interest Expenses was $200,000 in FY2022 (unchanged) and $200,000 in FY2021.
- Quarterly Non Operating Interest Expenses has moved between $200,000 (Q4 2022) and $34.6 million (Q3 2023) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Iqvia Holdings | 44.26 Bn | 36.10 Bn | 1.44 Bn | 197.00 Mn |
| 2 | Medpace Holdings | 17.42 Bn | 15.48 Bn | 201.64 Mn | - |
| 3 | Charles River Laboratories International | 14.08 Bn | 13.32 Bn | 363.37 Mn | 30.34 Mn |
| 4 | Icon | 13.02 Bn | 10.12 Bn | 479.29 Mn | -48.79 Mn |
| 5 | Fortrea Holdings | 1.90 Bn | 1.28 Bn | 139.20 Mn | - |
| 6 | Ginkgo Bioworks Holdings | 817.41 Mn | 55.33 Mn | 18.44 Mn | - |
| 7 | Evotec SE | 608.00 Mn | -965.22 Mn | - | - |
| 8 | Champions Oncology | 69.59 Mn | 45.24 Mn | 7.70 Mn | - |
| 9 | MindWalk Holdings | 62.13 Mn | 26.34 Mn | 1.61 Mn | - |
| 10 | Natural Alternatives International | 8.98 Mn | -19.10 Mn | 1.73 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 34.50 Mn |
| Sep 30, 2023 | 34.60 Mn |
| Jun 30, 2023 | 700,000.00 |
| Dec 31, 2022 | 200,000.00 |
API Access
Fortrea Holdings 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=FTRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "FTRE", "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=FTRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();