Yext (YEXT) Return on Sales [ROS] (2016 - 2026)
Yext (YEXT) recorded Return on Sales [ROS] of 15.81% in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 10.43 percentage points from 26.24% a year earlier but up 10.63 percentage points from the prior quarter.
Yext (YEXT) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
On a TTM basis, Yext's Return on Sales [ROS] came in at 8.33% as of Jul 31, 2026, up 5.81 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 9.98%, up 17.68 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of +36.57 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at -7.71% in FY2025 (-6.17 pp), -1.53% in FY2024 (+14.64 pp), -16.17% in FY2023 (+6.86 pp) and -23.03% in FY2022 (+3.57 pp).
- Quarterly Return on Sales [ROS] has ranged from -25.81% in fiscal Q1 2023 to 26.24% in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last eight quarters, with an average year-over-year change of +5.92 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 33.97 percentage points in fiscal Q2 2026, against a drop of 10.43 percentage points in fiscal Q2 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 5.17% (Q1 2027), 5.34% (Q4 2026) and 6.95% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | 46.89% |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | 34.78% |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | 28.53% |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | 20.55% |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | -30.06% |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | 9.38% |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | 16,670.89% |
| 10 | Yext | 760.51 Mn | 287.77 Mn | 83.84 Mn | 15.81% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 15.81% |
| Apr 30, 2026 | 5.17% |
| Jan 31, 2026 | 5.34% |
| Oct 31, 2025 | 6.95% |
| Jul 31, 2025 | 26.24% |
| Apr 30, 2025 | 1.02% |
| Jan 31, 2025 | -8.04% |
| Oct 31, 2024 | -9.10% |
| Jul 31, 2024 | -7.73% |
| Apr 30, 2024 | -5.65% |
| Jan 31, 2024 | 1.03% |
| Oct 31, 2023 | -1.76% |
| Jul 31, 2023 | -4.12% |
| Apr 30, 2023 | -1.24% |
| Jan 31, 2023 | -7.53% |
| Oct 31, 2022 | -12.22% |
| Jul 31, 2022 | -19.35% |
| Apr 30, 2022 | -25.81% |
| Jan 31, 2022 | -21.76% |
| Oct 31, 2021 | -24.47% |
Yext Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=YEXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=YEXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();