ARS Pharmaceuticals (SPRY) Long-Term Debt Repayments (2020 - 2022)
ARS Pharmaceuticals (SPRY) reported Long-Term Debt Repayments of $5.95 million for Q4 2022, up 513.2% from $971,000 a year earlier and up 555.0% from the prior quarter.
ARS Pharmaceuticals (SPRY) Long-Term Debt Repayments (2020 - 2022) Analysis & Trends
For FY2022, ARS Pharmaceuticals posted Long-Term Debt Repayments of $8.68 million, up 377.8% from FY2021.
- By year, Long-Term Debt Repayments came in at $1.82 million in FY2021 (+159.6%) and $700,000 in FY2020.
- The Q4 2022 figure ranks as the highest quarterly Long-Term Debt Repayments in data going back to Q1 2020.
- Year over year, Long-Term Debt Repayments gained in five of the last six quarters, with growth averaging 232.8%.
- Per Business Quant data, the three quarters before Q4 2022 came in at $909,000 (Q3 2022), $910,000 (Q2 2022) and $908,000 (Q1 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 1.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | ARS Pharmaceuticals | 414.63 Mn | 270.83 Mn | 20.81 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 5.95 Mn |
| Sep 30, 2022 | 909,000.00 |
| Jun 30, 2022 | 910,000.00 |
| Mar 31, 2022 | 908,000.00 |
| Dec 31, 2021 | 971,000.00 |
| Jun 30, 2021 | 496,000.00 |
| Mar 31, 2021 | 350,000.00 |
| Dec 31, 2020 | 233,000.00 |
| Jun 30, 2020 | 117,000.00 |
| Mar 31, 2020 | 350,000.00 |
ARS Pharmaceuticals Long-Term Debt 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=long-term-debt-repayments&ticker=SPRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "SPRY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=SPRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();