Duos Technologies (DUOT) Return on Capital Employed [ROCE] (2021 - 2026)
Duos Technologies (DUOT) recorded Return on Capital Employed [ROCE] of -4.87% in Q2 2026, up 37.80 percentage points from -42.66% a year earlier and up 7.12 percentage points from the prior quarter.
Duos Technologies (DUOT) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Duos Technologies reported Return on Capital Employed [ROCE] of -24.65%, up 115.97 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a four-year change of +161.54 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -140.62% in FY2024 (-22.84 pp), -117.78% in FY2023 (-16.69 pp), -101.09% in FY2022 (+85.10 pp) and -186.19% in FY2021.
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2021.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for eight consecutive quarters, with an average year-over-year change of +49.68 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 343.95 percentage points in Q3 2022, against a drop of 55.64 percentage points in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -11.98% (Q1 2026), -13.79% (Q4 2025) and -18.46% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 27.85% |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 9.40% |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | -9.60% |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 5.75% |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | -2.94% |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | -0.51% |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | - |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 10.69% |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 4.33% |
| 10 | Duos Technologies | 274.61 Mn | 80.60 Mn | 3.45 Mn | -4.87% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.87% |
| Mar 31, 2026 | -11.98% |
| Dec 31, 2025 | -13.79% |
| Sep 30, 2025 | -18.46% |
| Jun 30, 2025 | -42.66% |
| Mar 31, 2025 | -48.70% |
| Dec 31, 2024 | -88.56% |
| Sep 30, 2024 | -70.73% |
| Jun 30, 2024 | -108.60% |
| Mar 31, 2024 | -124.19% |
| Dec 31, 2023 | -116.04% |
| Sep 30, 2023 | -97.66% |
| Jun 30, 2023 | -89.71% |
| Mar 31, 2023 | -68.55% |
| Dec 31, 2022 | -69.86% |
| Sep 30, 2022 | -71.22% |
| Jun 30, 2022 | -102.71% |
| Mar 31, 2022 | -121.50% |
| Dec 31, 2021 | -240.53% |
| Sep 30, 2021 | -415.17% |
Duos Technologies 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=DUOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "DUOT", "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=DUOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();