Fluence Energy (FLNC) Interest Expenses (2020 - 2023)
Fluence Energy (FLNC) recorded Interest Expenses of $1.51 million in FY2024 (year ended Sep 30, 2024), compared with $8,000 in FY2023.
Analysis
Fluence Energy (FLNC) Interest Expenses (2020 - 2023) Analysis & Trends
Starting with FY2020, Fluence Energy's Interest Expenses history includes 4 fiscal years.
- Annual Interest Expenses has a four-year compound annual growth rate of 85.2% (FY2020 to FY2024).
- Per Business Quant data, FLNC's Interest Expenses was $8,000 in FY2023, $1.44 million in FY2021 and $128,000 in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 256.40 Bn | 217.48 Bn | 2.36 Bn | -73.00 Mn |
| 2 | Bloom Energy | 85.45 Bn | 77.27 Bn | 355.57 Mn | 8.91 Mn |
| 3 | First Solar | 19.01 Bn | 9.97 Bn | 605.00 Mn | 5.56 Mn |
| 4 | BWX Technologies | 12.64 Bn | 10.94 Bn | 202.31 Mn | 5.28 Mn |
| 5 | Generac Holdings | 12.53 Bn | 11.36 Bn | 521.81 Mn | 16.79 Mn |
| 6 | Nextpower | 12.03 Bn | 7.92 Bn | 335.85 Mn | - |
| 7 | EnerSys | 6.62 Bn | 4.81 Bn | 313.36 Mn | 10.60 Mn |
| 8 | Enphase Energy | 4.21 Bn | -653.40 Mn | 175.01 Mn | 327,000.00 |
| 9 | Mirion Technologies | 3.51 Bn | 1.39 Bn | 133.10 Mn | 8.40 Mn |
| 10 | Fluence Energy | 1.44 Bn | -368.61 Mn | 33.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 1.51 Mn |
| Mar 31, 2023 | 1.14 Mn |
| Dec 31, 2022 | 816,000.00 |
| Sep 30, 2022 | 80,000.00 |
| Jun 30, 2022 | 573,000.00 |
| Mar 31, 2022 | 676,000.00 |
| Dec 31, 2021 | 682,000.00 |
| Sep 30, 2021 | 536,000.00 |
| Jun 30, 2021 | 424,000.00 |
| Mar 31, 2021 | 386,000.00 |
| Dec 31, 2020 | 89,000.00 |
API Access
Fluence Energy 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=interest-expenses&ticker=FLNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "FLNC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=FLNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();