Mitesco (MITI) Return on Sales [ROS] (2011 - 2026)
Mitesco (MITI) recorded Return on Sales [ROS] of -2294.36% in Q2 2026, down 413.32 percentage points from -1881.04% a year earlier but up 6756.22 percentage points from the prior quarter.
Mitesco (MITI) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
On a TTM basis, Mitesco's Return on Sales [ROS] came in at -9004.76% as of Jun 30, 2026, down 7224.20 percentage points year-over-year; for FY2025, it was -4852.80%, down 2190.23 percentage points from FY2024.
- Annual Return on Sales [ROS] has a four-year change of +663.51 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -2662.57% in FY2024 and -5516.31% in FY2021.
- Quarterly Return on Sales [ROS] has ranged from -33714.07% in Q3 2025 to -920.18% in Q3 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of -7686.59 percentage points over the last five quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 52443.07 percentage points in Q3 2021, against a drop of 32793.89 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -9050.58% (Q1 2026), -4852.80% (Q4 2025) and -33714.07% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 45.11% |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 15.24% |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | -29.55% |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 25.33% |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | -30.21% |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | -1.90% |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 68.18% |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 9.24% |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 7.30% |
| 10 | Mitesco | 1.26 Mn | 1.15 Mn | - | -2,294.36% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2,294.36% |
| Mar 31, 2026 | -9,050.58% |
| Dec 31, 2025 | -4,852.80% |
| Sep 30, 2025 | -33,714.07% |
| Jun 30, 2025 | -1,881.04% |
| Mar 31, 2025 | -1,570.51% |
| Dec 31, 2024 | -3,323.56% |
| Sep 30, 2024 | -920.18% |
| Jun 30, 2024 | -5,664.62% |
| Mar 31, 2023 | -3,940.60% |
| Dec 31, 2022 | -2,741.77% |
| Sep 30, 2022 | -2,348.31% |
| Jun 30, 2022 | -1,642.98% |
| Mar 31, 2022 | -2,518.59% |
| Dec 31, 2021 | -2,497.48% |
| Sep 30, 2021 | -13,079.64% |
| Jun 30, 2021 | -16,964.71% |
| Mar 31, 2021 | -32,020.49% |
| Sep 30, 2020 | -65,522.71% |
| Jun 30, 2020 | -60,540.37% |
Mitesco 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=MITI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MITI", "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=MITI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();