CitroTech (CITR) Total Liabilities (2020 - 2026)
CitroTech's Total Liabilities was $1.02 million in Q2 2026, down 84.3% from $6.5 million a year earlier and down 71.2% from the prior quarter.
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Analysis
CitroTech (CITR) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at CitroTech came in at $2.92 million, up 35.1% from FY2024.
- Total Liabilities has now increased for four consecutive years, with a five-year compound annual growth rate of 215.4% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $2.16 million in FY2024 (+29.6%), $1.67 million in FY2023 (+57.2%), $1.06 million in FY2022 (+176.9%) and $383,090 in FY2021.
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q3 2022.
- Compared with a year earlier, Total Liabilities was higher in six of the last eight quarters, with growth averaging 59.2%.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2022 (growth of 892.9%); the worst was Q2 2026 (a decline of 84.3%).
- Per Business Quant data, CITR's Total Liabilities in the three quarters before Q2 2026 was $3.56 million (Q1 2026), $2.92 million (Q4 2025) and $3.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.79 Bn | 217.37 Bn | 4.43 Bn | 47.73 Bn |
| 2 | Corning | 106.66 Bn | 99.23 Bn | 1.63 Bn | 19.83 Bn |
| 3 | Sherwin Williams | 84.26 Bn | 83.30 Bn | 3.34 Bn | 23.10 Bn |
| 4 | Air Products & Chemicals | 68.55 Bn | 63.74 Bn | 1.04 Bn | 23.85 Bn |
| 5 | LyondellBasell Industries | 42.27 Bn | 31.78 Bn | 2.04 Bn | 23.80 Bn |
| 6 | Nutrien | 33.55 Bn | 30.38 Bn | 3.25 Bn | 27.62 Bn |
| 7 | Ppg Industries | 25.18 Bn | 17.84 Bn | 1.81 Bn | 13.94 Bn |
| 8 | International Flavors & Fragrances | 23.86 Bn | 21.52 Bn | 853.00 Mn | 11.15 Bn |
| 9 | Dow | 22.91 Bn | 6.41 Bn | 2.17 Bn | 44.22 Bn |
| 10 | CitroTech | 57.21 Mn | 37.94 Mn | 9,038.00 | 1.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.02 Mn |
| Mar 31, 2026 | 3.56 Mn |
| Dec 31, 2025 | 2.92 Mn |
| Sep 30, 2025 | 3.75 Mn |
| Jun 30, 2025 | 6.50 Mn |
| Mar 31, 2025 | 4.96 Mn |
| Dec 31, 2024 | 2.16 Mn |
| Sep 30, 2024 | 2.11 Mn |
| Jun 30, 2024 | 2.14 Mn |
| Mar 31, 2024 | 1.49 Mn |
| Dec 31, 2023 | 1.67 Mn |
| Sep 30, 2023 | 1.98 Mn |
| Jun 30, 2023 | 1.58 Mn |
| Mar 31, 2023 | 1.38 Mn |
| Dec 31, 2022 | 1.06 Mn |
| Sep 30, 2022 | 822,375.00 |
| Jun 30, 2022 | 576,908.00 |
| Mar 31, 2022 | 423,128.00 |
| Dec 31, 2021 | 383,090.00 |
| Sep 30, 2021 | 82,823.00 |
API Access
CitroTech Total Liabilities 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=total-liabilities&ticker=CITR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CITR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();