Yext (YEXT) Operating Expenses (2016 - 2026)
Yext (YEXT) posted Operating Expenses of $66.27 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 19.7% from $55.36 million a year earlier but down 9.4% from the prior quarter.
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Analysis
Yext (YEXT) Operating Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Operating Expenses at Yext was $290.76 million, down 12.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $287.96 million, down 19.3% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of -4.5% (FY2021 to FY2026).
- In prior fiscal years, Yext's Operating Expenses was $357.04 million in FY2025 (+10.5%), $323.06 million in FY2024 (-10.7%), $361.72 million in FY2023 (-5.4%) and $382.24 million in FY2022 (+5.4%).
- Quarterly Operating Expenses has run from a low of $55.36 million in fiscal Q2 2026 to a high of $99.58 million in fiscal Q1 2023 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with an average decline of 2.8%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2025, with growth of 22.3%; the weakest was fiscal Q2 2026, with a decline of 33.4%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $73.14 million (Q1 2027), $76.33 million (Q4 2026) and $75.02 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Yext | 638.39 Mn | 165.65 Mn | 83.84 Mn | 66.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 66.27 Mn |
| Apr 30, 2026 | 73.14 Mn |
| Jan 31, 2026 | 76.33 Mn |
| Oct 31, 2025 | 75.02 Mn |
| Jul 31, 2025 | 55.36 Mn |
| Apr 30, 2025 | 81.26 Mn |
| Jan 31, 2025 | 95.90 Mn |
| Oct 31, 2024 | 98.11 Mn |
| Jul 31, 2024 | 83.16 Mn |
| Apr 30, 2024 | 79.87 Mn |
| Jan 31, 2024 | 78.41 Mn |
| Oct 31, 2023 | 80.88 Mn |
| Jul 31, 2023 | 84.44 Mn |
| Apr 30, 2023 | 79.34 Mn |
| Jan 31, 2023 | 83.09 Mn |
| Oct 31, 2022 | 85.75 Mn |
| Jul 31, 2022 | 93.31 Mn |
| Apr 30, 2022 | 99.58 Mn |
| Jan 31, 2022 | 98.32 Mn |
| Oct 31, 2021 | 98.63 Mn |
API Access
Yext 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=YEXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "YEXT", "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=YEXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();