Roku (ROKU) Net Debt Issuances and Repayments (2017 - 2023)
Roku's Net Debt Issuances and Repayments came in at -$80 million for FY2023, compared with -$10 million in FY2022.
Analysis
Roku (ROKU) Net Debt Issuances and Repayments (2017 - 2023) Analysis & Trends
Going back to FY2015, Roku's Net Debt Issuances and Repayments data covers 7 years.
- The FY2023 figure represents the lowest annual Net Debt Issuances and Repayments in data going back to FY2015.
- Per Business Quant, earlier years put Net Debt Issuances and Repayments at -$10 million in FY2022, -$5 million in FY2021, -$5 million in FY2020 and $99.61 million in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | -160.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | - |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | - |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | - |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | - |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | - |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | - |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | - |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | -1.79 Mn |
| 10 | Roku | 23.89 Bn | 13.92 Bn | 648.52 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | -80.00 Mn |
| Dec 31, 2022 | -2.50 Mn |
| Sep 30, 2022 | -2.50 Mn |
| Jun 30, 2022 | -3.75 Mn |
| Mar 31, 2022 | -1.25 Mn |
| Dec 31, 2021 | -1.25 Mn |
| Sep 30, 2021 | -1.25 Mn |
| Jun 30, 2021 | -1.25 Mn |
| Mar 31, 2021 | -1.25 Mn |
| Dec 31, 2020 | -1.25 Mn |
| Sep 30, 2020 | -1.25 Mn |
| Jun 30, 2020 | -70.58 Mn |
| Mar 31, 2020 | 68.08 Mn |
| Dec 31, 2017 | -25.45 Mn |
| Mar 31, 2017 | -15.00 Mn |
API Access
Roku Net Debt Issuances and Repayments 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=net-debt-issuances-and-repayments&ticker=ROKU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-repayments", "ticker": "ROKU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-debt-issuances-and-repayments&ticker=ROKU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();