Appfolio (APPF) Return on Sales [ROS] (2014 - 2026)
Appfolio (APPF) posted Return on Sales [ROS] of 18.84% for Q2 2026, up 1.65 percentage points from 17.20% a year earlier but down 0.51 percentage points from the prior quarter.
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Analysis
Appfolio (APPF) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Appfolio was 17.52%, up 1.31 percentage points year-over-year; for FY2025, it came in at 16.08%, down 1.00 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +12.93 percentage points (FY2020 to FY2025).
- In prior years, Appfolio's Return on Sales [ROS] was 17.08% in FY2024 (+16.92 pp), 0.16% in FY2023 (+15.49 pp), -15.34% in FY2022 (-12.03 pp) and -3.31% in FY2021 (-6.46 pp).
- Quarterly Return on Sales [ROS] has run from a low of -25.48% in Q2 2022 to a high of 20.69% in Q3 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last three quarters, with an average year-over-year change of +2.12 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2024, with a gain of 37.68 percentage points; the weakest was Q2 2022, with a drop of 26.77 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 19.35% (Q1 2026), 17.56% (Q4 2025) and 14.05% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 27.75% |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 11.37% |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 8.22% |
| 10 | Appfolio | 7.00 Bn | 6.18 Bn | 178.53 Mn | 18.84% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.84% |
| Mar 31, 2026 | 19.35% |
| Dec 31, 2025 | 17.56% |
| Sep 30, 2025 | 14.05% |
| Jun 30, 2025 | 17.20% |
| Mar 31, 2025 | 15.52% |
| Dec 31, 2024 | 11.27% |
| Sep 30, 2024 | 20.69% |
| Jun 30, 2024 | 18.25% |
| Mar 31, 2024 | 18.19% |
| Dec 31, 2023 | 16.43% |
| Sep 30, 2023 | -0.04% |
| Jun 30, 2023 | -0.46% |
| Mar 31, 2023 | -19.49% |
| Dec 31, 2022 | -16.08% |
| Sep 30, 2022 | -6.25% |
| Jun 30, 2022 | -25.48% |
| Mar 31, 2022 | -13.93% |
| Dec 31, 2021 | -7.68% |
| Sep 30, 2021 | -0.01% |
API Access
Appfolio 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=APPF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "APPF", "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=APPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();