Asana (ASAN) Other Operating Expenses (2019 - 2026)
Asana (ASAN) posted Other Operating Expenses of $186.11 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), unchanged from $186.05 million a year earlier and up 17.4% from the prior quarter.
Asana (ASAN) Other Operating Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Other Operating Expenses at Asana was $661.39 million, down 9.2% year-over-year; for FY2026 (ended Jan 31, 2026), it was $677.73 million, down 10.2% from FY2025.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 17.9% (FY2021 to FY2026).
- In prior fiscal years, Asana's Other Operating Expenses was $754.62 million in FY2025 (+6.0%), $711.63 million in FY2024 (-2.8%), $732.17 million in FY2023 (+50.6%) and $486.02 million in FY2022 (+63.3%).
- The fiscal Q2 2027 figure stands as the highest quarterly Other Operating Expenses since fiscal Q3 2025.
- On a year-over-year basis, Other Operating Expenses increased in 1 of the last eight quarters, with an average decline of 6.1%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was fiscal Q1 2023, with growth of 66.7%; the weakest was fiscal Q3 2026, with a decline of 23.7%.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $158.55 million (Q1 2027), $173.37 million (Q4 2026) and $143.36 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 97.16 Bn | 72.41 Bn | 6.00 Bn |
| 2 | Autodesk | 56.45 Bn | 44.48 Bn | 1.87 Bn |
| 3 | Atlassian | 49.40 Bn | 42.68 Bn | 1.53 Bn |
| 4 | Twilio | 33.00 Bn | 22.64 Bn | 760.53 Mn |
| 5 | Zoom Communications | 26.85 Bn | -3.88 Bn | 985.50 Mn |
| 6 | Figma | 11.88 Bn | 5.20 Bn | 314.44 Mn |
| 7 | Dropbox | 7.93 Bn | 3.57 Bn | 506.50 Mn |
| 8 | RingCentral | 6.58 Bn | 6.11 Bn | 494.30 Mn |
| 9 | Open Text | 6.44 Bn | 1.87 Bn | 1.01 Bn |
| 10 | Asana | 2.69 Bn | 1.89 Bn | 186.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 104.38 Mn |
| Apr 30, 2026 | 92.46 Mn |
| Jan 31, 2026 | 100.19 Mn |
| Oct 31, 2025 | 100.24 Mn |
| Jul 31, 2025 | 106.68 Mn |
| Apr 30, 2025 | 99.84 Mn |
| Jan 31, 2025 | 102.26 Mn |
| Oct 31, 2024 | 104.71 Mn |
| Jul 31, 2024 | 108.65 Mn |
| Apr 30, 2024 | 104.33 Mn |
| Jan 31, 2024 | 103.92 Mn |
| Oct 31, 2023 | 98.35 Mn |
| Jul 31, 2023 | 96.45 Mn |
| Apr 30, 2023 | 93.24 Mn |
| Jan 31, 2023 | 114.73 Mn |
| Oct 31, 2022 | 113.71 Mn |
| Jul 31, 2022 | 110.39 Mn |
| Apr 30, 2022 | 96.12 Mn |
| Jan 31, 2022 | 88.89 Mn |
| Oct 31, 2021 | 73.30 Mn |
Asana Other 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=other-operating-expenses&ticker=ASAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=ASAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();