CitroTech (CITR) Return on Capital Employed [ROCE] (2022 - 2026)
CitroTech's Return on Capital Employed [ROCE] was -167.58% in Q2 2026, up 101.12 percentage points from -268.69% a year earlier and up 1.20 percentage points from the prior quarter.
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Analysis
CitroTech (CITR) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at CitroTech came in at -215.32%, down 51.02 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a three-year change of +7.64 percentage points (FY2022 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -164.31% in FY2024 (+147.50 pp), -311.80% in FY2023 (-88.84 pp) and -222.96% in FY2022.
- Quarterly Return on Capital Employed [ROCE] has moved between -403.66% (Q2 2024) and -47.03% (Q2 2023) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for three straight quarters, with an average year-over-year change of +85.08 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2024 (a gain of 183.21 percentage points); the worst was Q2 2024 (a drop of 356.63 percentage points).
- Per Business Quant data, CITR's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -168.77% (Q1 2026), -149.23% (Q4 2025) and -158.77% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 13.17% |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 9.96% |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 23.44% |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | -1.63% |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 3.55% |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 24.09% |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 10.47% |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 17.58% |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 13.38% |
| 10 | CitroTech | 65.29 Mn | 46.02 Mn | 9,038.00 | -167.58% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -167.58% |
| Mar 31, 2026 | -168.77% |
| Dec 31, 2025 | -149.23% |
| Sep 30, 2025 | -158.77% |
| Jun 30, 2025 | -268.69% |
| Mar 31, 2025 | -265.84% |
| Dec 31, 2024 | -173.94% |
| Sep 30, 2024 | -141.19% |
| Jun 30, 2024 | -403.66% |
| Mar 31, 2024 | -322.73% |
| Dec 31, 2023 | -274.20% |
| Sep 30, 2023 | -324.40% |
| Jun 30, 2023 | -47.03% |
| Mar 31, 2023 | -106.56% |
| Dec 31, 2022 | -86.88% |
| Sep 30, 2022 | -73.84% |
| Jun 30, 2022 | -126.48% |
API Access
CitroTech 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=CITR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=CITR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();