CitroTech (CITR) Return on Assets [ROA] (2009 - 2026)
CitroTech's Return on Assets [ROA] was -216.76% in Q2 2026, up 68.03 percentage points from -284.79% a year earlier and up 26.54 percentage points from the prior quarter.
Powered by 
Analysis
CitroTech (CITR) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2025, Return on Assets [ROA] at CitroTech came in at -374.72%, down 247.06 percentage points from FY2024.
- Return on Assets [ROA] shows a three-year change of -252.03 percentage points (FY2022 to FY2025).
- In earlier years, Return on Assets [ROA] was -127.67% in FY2024 (+80.36 pp), -208.02% in FY2023 (-85.32 pp) and -122.70% in FY2022.
- The Q2 2026 figure marks the highest quarterly Return on Assets [ROA] since Q1 2025.
- Compared with a year earlier, Return on Assets [ROA] was higher in four of the last eight quarters, with an average year-over-year change of -17.63 percentage points.
- The best year-over-year quarter for Return on Assets [ROA] over five years was Q3 2024 (a gain of 99.80 percentage points); the worst was Q2 2024 (a drop of 231.80 percentage points).
- Per Business Quant data, CITR's Return on Assets [ROA] in the three quarters before Q2 2026 was -243.30% (Q1 2026), -278.57% (Q4 2025) and -310.55% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn | 8.15% |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn | 7.01% |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn | 9.93% |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - | 1.35% |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn | 3.76% |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn | 4.20% |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn | 7.05% |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn | 4.15% |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn | 10.06% |
| 10 | CitroTech | 56.11 Mn | 41.95 Mn | 189,793.00 | -199.05% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -199.05% |
| Jun 30, 2026 | -216.76% |
| Mar 31, 2026 | -243.30% |
| Dec 31, 2025 | -278.57% |
| Sep 30, 2025 | -310.55% |
| Jun 30, 2025 | -284.79% |
| Mar 31, 2025 | -196.37% |
| Dec 31, 2024 | -132.05% |
| Sep 30, 2024 | -102.26% |
| Jun 30, 2024 | -258.21% |
| Mar 31, 2024 | -250.19% |
| Dec 31, 2023 | -190.59% |
| Sep 30, 2023 | -209.48% |
| Jun 30, 2023 | -31.54% |
| Mar 31, 2023 | -74.80% |
| Dec 31, 2022 | -65.78% |
| Sep 30, 2022 | -59.65% |
| Jun 30, 2022 | -98.59% |
| Mar 31, 2022 | 0.49% |
| Dec 31, 2021 | 19.00% |
API Access
CitroTech Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=CITR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=CITR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();