Xilio Therapeutics (XLO) Debt Ratio (2020 - 2023)
Xilio Therapeutics' Debt Ratio came in at 0.05 for Q4 2023, down 23.0% from 0.07 a year earlier and down 14.6% from the prior quarter.
Analysis
Xilio Therapeutics (XLO) Debt Ratio (2020 - 2023) Analysis & Trends
Going back to Q4 2020, Xilio Therapeutics' Debt Ratio data covers 11 quarters.
- Going back by year, Debt Ratio was 0.07 in FY2022 (+60.0%), 0.04 in FY2021 (-83.5%) and 0.27 in FY2020.
- The Q4 2023 figure represents the lowest quarterly Debt Ratio since Q1 2022.
- Year-over-year, Debt Ratio increased in four of the last six quarters, with growth averaging 18.2%.
- Business Quant data shows XLO's Debt Ratio at 0.06 (Q3 2023), 0.08 (Q2 2023) and 0.07 (Q1 2023) in the three quarters before Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 0.39 |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 0.23 |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 0.52 |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 0.42 |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 0.08 |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 0.28 |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 0.60 |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 0.53 |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 0.31 |
| 10 | Xilio Therapeutics | 157.76 Mn | -369.91 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 0.05 |
| Sep 30, 2023 | 0.06 |
| Jun 30, 2023 | 0.08 |
| Mar 31, 2023 | 0.07 |
| Dec 31, 2022 | 0.07 |
| Sep 30, 2022 | 0.06 |
| Jun 30, 2022 | 0.05 |
| Mar 31, 2022 | 0.05 |
| Dec 31, 2021 | 0.04 |
| Sep 30, 2021 | 0.08 |
| Dec 31, 2020 | 0.27 |
API Access
Xilio Therapeutics Debt Ratio 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=debt-ratio&ticker=XLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "XLO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=debt-ratio&ticker=XLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();