Asana (ASAN) Operating Expenses (2019 - 2026)
Asana (ASAN) recorded Operating Expenses of $227.32 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 0.5% from $226.17 million a year earlier and up 16.6% from the prior quarter.
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Analysis
Asana (ASAN) Operating Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, Asana's Operating Expenses came in at $885.51 million as of Jul 31, 2026, down 1.0% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $901.38 million, down 1.3% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of 19.2% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $913.42 million in FY2025 (+6.5%), $857.98 million in FY2024 (-4.5%), $898.48 million in FY2023 (+48.6%) and $604.72 million in FY2022 (+61.8%).
- Quarterly Operating Expenses has ranged from $158.84 million in fiscal Q3 2022 to $248.71 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with an average decline of 0.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 72.2% in fiscal Q1 2023, against a decline of 8.0% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $194.92 million (Q1 2027), $214.55 million (Q4 2026) and $248.71 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 99.39 Bn | 74.64 Bn | 6.00 Bn | 3.64 Bn |
| 2 | Atlassian | 56.40 Bn | 49.68 Bn | 1.53 Bn | 1.32 Bn |
| 3 | Autodesk | 51.55 Bn | 39.59 Bn | 1.87 Bn | 1.27 Bn |
| 4 | Twilio | 41.87 Bn | 31.94 Bn | 725.87 Mn | 641.32 Mn |
| 5 | Zoom Communications | 28.87 Bn | -1.92 Bn | 985.50 Mn | 671.18 Mn |
| 6 | Figma | 12.14 Bn | 5.65 Bn | 309.61 Mn | 426.90 Mn |
| 7 | Dropbox | 8.22 Bn | 3.86 Bn | 506.50 Mn | 341.70 Mn |
| 8 | Nice | 7.17 Bn | 5.64 Bn | 995.81 Mn | 765.06 Mn |
| 9 | RingCentral | 6.72 Bn | 6.21 Bn | 472.31 Mn | 422.02 Mn |
| 10 | Asana | 2.41 Bn | 1.61 Bn | 186.10 Mn | 227.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 227.32 Mn |
| Apr 30, 2026 | 194.92 Mn |
| Jan 31, 2026 | 214.55 Mn |
| Oct 31, 2025 | 248.71 Mn |
| Jul 31, 2025 | 226.17 Mn |
| Apr 30, 2025 | 211.94 Mn |
| Jan 31, 2025 | 232.32 Mn |
| Oct 31, 2024 | 224.26 Mn |
| Jul 31, 2024 | 236.02 Mn |
| Apr 30, 2024 | 220.81 Mn |
| Jan 31, 2024 | 221.69 Mn |
| Oct 31, 2023 | 213.87 Mn |
| Jul 31, 2023 | 219.61 Mn |
| Apr 30, 2023 | 202.81 Mn |
| Jan 31, 2023 | 234.24 Mn |
| Oct 31, 2022 | 227.39 Mn |
| Jul 31, 2022 | 232.41 Mn |
| Apr 30, 2022 | 204.44 Mn |
| Jan 31, 2022 | 187.48 Mn |
| Oct 31, 2021 | 158.84 Mn |
API Access
Asana 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=ASAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ASAN", "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=ASAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();