Rigetti Computing (RGTI) Times Interest Earned (2021 - 2024)
Rigetti Computing's Times Interest Earned was -37.67 in Q4 2024, compared with -13.35 a year earlier.
Analysis
Rigetti Computing (RGTI) Times Interest Earned (2021 - 2024) Analysis & Trends
For FY2024, Times Interest Earned at Rigetti Computing came in at -20.76.
- In earlier years, Times Interest Earned was -12.46 in FY2023, -20.58 in FY2022 and -13.85 in FY2021.
- The Q4 2024 figure marks the lowest quarterly Times Interest Earned in data going back to Q3 2021.
- Per Business Quant data, RGTI's Times Interest Earned in the three quarters before Q4 2024 was -23.66 (Q3 2024), -16.09 (Q2 2024) and -14.98 (Q1 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | -5.50 |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 215.41 |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | -126.37 |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 1.68 |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 5.63 |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 1.66 |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 30.74 |
| 10 | Rigetti Computing | 3.89 Bn | 2.19 Bn | 2.19 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -37.67 |
| Sep 30, 2024 | -23.66 |
| Jun 30, 2024 | -16.09 |
| Mar 31, 2024 | -14.98 |
| Dec 31, 2023 | -13.35 |
| Sep 30, 2023 | -11.43 |
| Jun 30, 2023 | -10.32 |
| Mar 31, 2023 | -15.04 |
| Dec 31, 2022 | -17.95 |
| Sep 30, 2022 | -21.81 |
| Jun 30, 2022 | -24.77 |
| Mar 31, 2022 | -20.97 |
| Dec 31, 2021 | -5.48 |
| Sep 30, 2021 | -15.57 |
API Access
Rigetti Computing Times Interest Earned 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=times-interest-earned&ticker=RGTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "ticker": "RGTI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=times-interest-earned&ticker=RGTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();