Appfolio (APPF) Return on Capital Employed [ROCE] (2015 - 2026)
Appfolio's Return on Capital Employed [ROCE] came in at 34.43% for Q2 2026, up 6.38 percentage points from 28.05% a year earlier and up 4.23 percentage points from the prior quarter.
Appfolio (APPF) Return on Capital Employed [ROCE] (2015 - 2026) Analysis & Trends
For FY2025, Appfolio's Return on Capital Employed [ROCE] was 27.75%, down 2.09 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +24.20 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 29.84% in FY2024 (+29.55 pp), 0.30% in FY2023 (+22.01 pp), -21.71% in FY2022 (-18.28 pp) and -3.43% in FY2021 (-6.99 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2015.
- Year-over-year, Return on Capital Employed [ROCE] has increased for three consecutive quarters, with an average year-over-year change of +11.59 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q3 2024 (a gain of 48.44 percentage points), and the weakest in Q1 2023 (a drop of 22.48 percentage points).
- Business Quant data shows APPF's Return on Capital Employed [ROCE] at 30.21% (Q1 2026), 27.41% (Q4 2025) and 26.28% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.12% |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 21.19% |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 21.53% |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.74% |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 10.56% |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 112.05% |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 0.82% |
| 10 | Appfolio | 7.00 Bn | 6.18 Bn | 178.53 Mn | 34.43% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.43% |
| Mar 31, 2026 | 30.21% |
| Dec 31, 2025 | 27.41% |
| Sep 30, 2025 | 26.28% |
| Jun 30, 2025 | 28.05% |
| Mar 31, 2025 | 25.20% |
| Dec 31, 2024 | 26.51% |
| Sep 30, 2024 | 32.20% |
| Jun 30, 2024 | 24.84% |
| Mar 31, 2024 | 16.74% |
| Dec 31, 2023 | 0.30% |
| Sep 30, 2023 | -16.24% |
| Jun 30, 2023 | -19.20% |
| Mar 31, 2023 | -28.44% |
| Dec 31, 2022 | -22.50% |
| Sep 30, 2022 | -18.54% |
| Jun 30, 2022 | -15.60% |
| Mar 31, 2022 | -5.97% |
| Dec 31, 2021 | -3.35% |
| Sep 30, 2021 | -2.06% |
Appfolio Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=APPF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=APPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();