Avai Bio (AVAI) Accumulated Expenses (2020 - 2022)
Avai Bio's Accumulated Expenses came in at $10,092 for fiscal Q3 2023 (quarter ended Dec 31, 2022), compared with $355.00 a year earlier and up 483.7% from the prior quarter.
Avai Bio (AVAI) Accumulated Expenses (2020 - 2022) Analysis & Trends
At the end of FY2022 (ended Mar 31, 2022), Avai Bio's Accumulated Expenses was $2,816, up 141.3% from FY2021.
- Going back by fiscal year, Accumulated Expenses was $1,167 in FY2021 (-91.4%) and $13,547 in FY2020.
- The fiscal Q3 2023 figure represents the highest quarterly Accumulated Expenses since fiscal Q4 2020.
- Year-over-year, Accumulated Expenses increased in three of the last seven quarters, with growth averaging 37.5%.
- Business Quant data shows AVAI's Accumulated Expenses at $1,729 (Q2 2023), $4,985 (Q1 2023) and $2,816 (Q4 2022) in the three fiscal quarters before Q3 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 289.26 Bn | 274.33 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 243.64 Bn | 224.08 Bn | 1.10 Bn |
| 3 | Fortinet | 126.90 Bn | 112.83 Bn | 1.64 Bn |
| 4 | Snowflake | 110.61 Bn | 97.93 Bn | 1.04 Bn |
| 5 | Datadog | 92.52 Bn | 74.16 Bn | 881.34 Mn |
| 6 | Zscaler | 38.77 Bn | 24.89 Bn | - |
| 7 | Axon Enterprise | 33.68 Bn | 28.20 Bn | 546.45 Mn |
| 8 | Okta | 33.65 Bn | 23.75 Bn | 641.00 Mn |
| 9 | MongoDB | 29.18 Bn | 19.65 Bn | 569.77 Mn |
| 10 | Avai Bio | 15.39 Mn | 15.14 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 10,092.00 |
| Sep 30, 2022 | 1,729.00 |
| Jun 30, 2022 | 4,985.00 |
| Mar 31, 2022 | 2,816.00 |
| Dec 31, 2021 | 355.00 |
| Sep 30, 2021 | 2,964.00 |
| Jun 30, 2021 | 1,748.00 |
| Mar 31, 2021 | 1,167.00 |
| Dec 31, 2020 | 1,143.00 |
| Sep 30, 2020 | 1,167.00 |
| Jun 30, 2020 | 2,082.00 |
| Mar 31, 2020 | 13,547.00 |
Avai Bio Accumulated Expenses 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=accumulated-expenses&ticker=AVAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "AVAI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=AVAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();