Yext (YEXT) Non Operating Interest Expenses (2016 - 2026)
Yext (YEXT) recorded Non Operating Interest Expenses of $3.57 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 56.6% from $2.28 million a year earlier and up 14.9% from the prior quarter.
Yext (YEXT) Non Operating Interest Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, Yext's Non Operating Interest Expenses came in at $11.32 million as of Jul 31, 2026, up 236.0% year-over-year; for FY2026 (ended Jan 31, 2026), it was $7.58 million, up 683.4% from FY2025.
- Annual Non Operating Interest Expenses has a three-year compound annual growth rate of 134.3% (FY2023 to FY2026).
- Across earlier fiscal years, Non Operating Interest Expenses came in at $967,000 in FY2025 (+105.7%), $470,000 in FY2024 (-20.2%) and $589,000 in FY2023.
- The fiscal Q2 2027 figure is the highest quarterly Non Operating Interest Expenses in data going back to fiscal Q2 2017.
- On a year-over-year basis, Non Operating Interest Expenses has increased for four consecutive quarters, with growth averaging 352.2% over the last seven quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 962.2% in fiscal Q3 2026, against a decline of 38.6% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.1 million (Q1 2027), $2.3 million (Q4 2026) and $2.36 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | - |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 1.43 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 70.00 Mn |
| 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 | 3.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.57 Mn |
| Apr 30, 2026 | 3.10 Mn |
| Jan 31, 2026 | 2.30 Mn |
| Oct 31, 2025 | 2.36 Mn |
| Jul 31, 2025 | 2.28 Mn |
| Apr 30, 2025 | 642,000.00 |
| Jan 31, 2025 | 229,000.00 |
| Oct 31, 2024 | 222,000.00 |
| Jul 31, 2024 | 124,000.00 |
| Apr 30, 2024 | 392,000.00 |
| Jan 31, 2024 | 136,000.00 |
| Oct 31, 2023 | 173,000.00 |
| Jul 31, 2023 | 88,000.00 |
| Oct 31, 2021 | 113,000.00 |
| Jul 31, 2021 | 158,000.00 |
| Apr 30, 2021 | 132,000.00 |
| Oct 31, 2020 | 184,000.00 |
| Jul 31, 2020 | 154,000.00 |
| Apr 30, 2020 | 137,000.00 |
| Oct 31, 2019 | 81,000.00 |
Yext Non Operating Interest 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=non-operating-interest-expenses&ticker=YEXT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=YEXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();