Yext (YEXT) Other Operating Expenses (2016 - 2026)
Yext (YEXT) recorded Other Operating Expenses of $31.23 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 90.1% from $16.43 million a year earlier and up 6.2% from the prior quarter.
Yext (YEXT) Other Operating Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, Yext's Other Operating Expenses came in at $133.98 million as of Jul 31, 2026, down 5.8% year-over-year; for FY2026 (ended Jan 31, 2026), it was $134.77 million, down 22.9% from FY2025.
- Annual Other Operating Expenses has declined for four straight fiscal years, with a five-year compound annual growth rate of -10.0% (FY2021 to FY2026).
- Across earlier fiscal years, Other Operating Expenses came in at $174.78 million in FY2025 (-2.3%), $178.83 million in FY2024 (-15.4%), $211.48 million in FY2023 (-8.2%) and $230.47 million in FY2022 (+0.9%).
- Quarterly Other Operating Expenses has ranged from $16.43 million in fiscal Q2 2026 to $60.78 million in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, Other Operating Expenses rose in two of the last eight quarters, with an average decline of 4.5%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 90.1% in fiscal Q2 2027, against a decline of 60.9% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $29.4 million (Q1 2027), $36.08 million (Q4 2026) and $37.27 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Yext | 642.37 Mn | 169.62 Mn | 83.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 31.23 Mn |
| Apr 30, 2026 | 29.40 Mn |
| Jan 31, 2026 | 36.08 Mn |
| Oct 31, 2025 | 37.27 Mn |
| Jul 31, 2025 | 16.43 Mn |
| Apr 30, 2025 | 36.21 Mn |
| Jan 31, 2025 | 45.90 Mn |
| Oct 31, 2024 | 43.67 Mn |
| Jul 31, 2024 | 41.96 Mn |
| Apr 30, 2024 | 43.25 Mn |
| Jan 31, 2024 | 41.89 Mn |
| Oct 31, 2023 | 45.36 Mn |
| Jul 31, 2023 | 47.59 Mn |
| Apr 30, 2023 | 44.00 Mn |
| Jan 31, 2023 | 47.24 Mn |
| Oct 31, 2022 | 49.36 Mn |
| Jul 31, 2022 | 54.11 Mn |
| Apr 30, 2022 | 60.78 Mn |
| Jan 31, 2022 | 58.18 Mn |
| Oct 31, 2021 | 58.55 Mn |
Yext 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=YEXT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=YEXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();