Avai Bio (AVAI) Operating Expenses (2018 - 2026)
Avai Bio (AVAI) recorded Operating Expenses of $419,783 in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 13.9% from $487,589 a year earlier but up 376.1% from the prior quarter.
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Analysis
Avai Bio (AVAI) Operating Expenses (2018 - 2026) Analysis & Trends
On a TTM basis, Avai Bio's Operating Expenses came in at $1.41 million as of Jun 30, 2026, down 5.9% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $1.48 million, down 3.4% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of 38.8% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $1.53 million in FY2025 (-27.6%), $2.12 million in FY2024 (+555.2%), $323,131 in FY2023 (-41.7%) and $553,920 in FY2022 (+92.9%).
- Quarterly Operating Expenses has ranged from -$38,446 in fiscal Q4 2025 to $1.01 million in fiscal Q3 2024 over the past five years.
- On a year-over-year basis, Operating Expenses rose in two of the last six quarters, with an average decline of 5.8%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 608.0% in fiscal Q1 2024, against a decline of 76.4% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $88,162 (Q4 2026), $509,774 (Q3 2026) and $394,666 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 534.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 499.67 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Avai Bio | 20.01 Mn | 19.76 Mn | - | 419,783.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 419,783.00 |
| Mar 31, 2026 | 88,162.00 |
| Dec 31, 2025 | 509,774.00 |
| Sep 30, 2025 | 394,666.00 |
| Jun 30, 2025 | 487,589.00 |
| Mar 31, 2025 | -38,446.00 |
| Dec 31, 2024 | 428,898.00 |
| Sep 30, 2024 | 623,046.00 |
| Jun 30, 2024 | 517,294.00 |
| Mar 31, 2024 | 303,432.00 |
| Dec 31, 2023 | 1.01 Mn |
| Sep 30, 2023 | 388,328.00 |
| Jun 30, 2023 | 411,522.00 |
| Mar 31, 2023 | 124,939.00 |
| Dec 31, 2022 | 49,717.00 |
| Sep 30, 2022 | 90,354.00 |
| Jun 30, 2022 | 58,121.00 |
| Mar 31, 2022 | 67,034.00 |
| Dec 31, 2021 | 210,692.00 |
| Sep 30, 2021 | 129,620.00 |
API Access
Avai Bio Operating 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=operating-expenses&ticker=AVAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=AVAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();