CitroTech (CITR) Return on Sales [ROS] (2009 - 2026)
CitroTech's Return on Sales [ROS] came in at -1244.95% for Q2 2026, down 806.11 percentage points from -438.84% a year earlier but up 44.40 percentage points from the prior quarter.
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Analysis
CitroTech (CITR) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, CitroTech reported Return on Sales [ROS] of -1330.49%, down 881.30 percentage points year-over-year; for FY2025, it came in at -692.70%, down 36.48 percentage points from FY2024.
- Return on Sales [ROS] carries a four-year change of -595.29 percentage points (FY2021 to FY2025).
- Going back by year, Return on Sales [ROS] was -656.22% in FY2024 (+1283.29 pp), -1939.51% in FY2023 (+2712.92 pp), -4652.42% in FY2022 (-4555.02 pp) and -97.40% in FY2021.
- The five-year range for quarterly Return on Sales [ROS] is -11641.91% (Q4 2022) to -63.36% (Q4 2021).
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +125.48 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2023 (a gain of 11572.31 percentage points), and the weakest in Q4 2022 (a drop of 11578.55 percentage points).
- Business Quant data shows CITR's Return on Sales [ROS] at -1289.35% (Q1 2026), -1325.66% (Q4 2025) and -1470.34% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn | 22.86% |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn | 18.76% |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn | 17.61% |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - | - |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn | 12.55% |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn | 28.07% |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn | 14.89% |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn | 28.15% |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn | 19.10% |
| 10 | CitroTech | 56.11 Mn | 41.95 Mn | 189,793.00 | -344.19% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -344.19% |
| Jun 30, 2026 | -1,244.95% |
| Mar 31, 2026 | -1,289.35% |
| Dec 31, 2025 | -1,325.66% |
| Sep 30, 2025 | -1,470.34% |
| Jun 30, 2025 | -438.84% |
| Mar 31, 2025 | -356.77% |
| Dec 31, 2024 | -1,722.16% |
| Sep 30, 2024 | -524.43% |
| Jun 30, 2024 | -456.74% |
| Mar 31, 2024 | -608.88% |
| Dec 31, 2023 | -69.60% |
| Sep 30, 2023 | -5,198.93% |
| Jun 30, 2023 | -1,471.65% |
| Mar 31, 2023 | -746.92% |
| Dec 31, 2022 | -11,641.91% |
| Sep 30, 2022 | -1,560.39% |
| Jun 30, 2022 | -5,592.44% |
| Mar 31, 2022 | -207.29% |
| Dec 31, 2021 | -63.36% |
API Access
CitroTech 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=CITR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CITR", "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=CITR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();