SAB Biotherapeutics (SABS) Receivables - Net (2020 - 2023)
SAB Biotherapeutics (SABS) reported Receivables - Net of $364,117 for Q2 2023, down 96.2% from $9.61 million a year earlier and down 52.3% from the prior quarter.
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Analysis
SAB Biotherapeutics (SABS) Receivables - Net (2020 - 2023) Analysis & Trends
At the end of FY2022, SAB Biotherapeutics posted Receivables - Net of $5.56 million, down 30.6% from FY2021.
- By year, Receivables - Net came in at $8.01 million in FY2021 (-61.1%) and $20.57 million in FY2020.
- The Q2 2023 figure ranks as the lowest quarterly Receivables - Net in data going back to Q4 2020.
- Year over year, Receivables - Net has now declined in each of the last three quarters, with an average decline of 70.4% over the last four quarters.
- Per Business Quant data, the three quarters before Q2 2023 came in at $763,123 (Q1 2023), $5.56 million (Q4 2022) and $12.94 million (Q3 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn |
| 10 | SAB Biotherapeutics | 230.89 Mn | -186.61 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 364,117.00 |
| Mar 31, 2023 | 763,123.00 |
| Dec 31, 2022 | 5.56 Mn |
| Sep 30, 2022 | 12.94 Mn |
| Jun 30, 2022 | 9.61 Mn |
| Mar 31, 2022 | 11.79 Mn |
| Dec 31, 2021 | 8.01 Mn |
| Dec 31, 2020 | 20.57 Mn |
API Access
SAB Biotherapeutics Receivables - Net 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=receivables-net&ticker=SABS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "SABS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables-net&ticker=SABS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();