CitroTech (CITR) Long-Term Debt Repayments (2022 - 2026)
CitroTech (CITR) reported Long-Term Debt Repayments of $21,710 for Q2 2026, up 175.4% from the prior quarter.
CitroTech (CITR) Long-Term Debt Repayments (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, CitroTech's Long-Term Debt Repayments came in at $78,965, down 91.2% year-over-year; for FY2025, it came in at $264,996, down 64.2% from FY2024.
- Long-Term Debt Repayments has a three-year compound annual growth rate of 68.2% (FY2022 to FY2025).
- By year, Long-Term Debt Repayments came in at $740,880 in FY2024 (+492.7%), $125,000 in FY2023 (+124.3%) and $55,720 in FY2022.
- Five-year quarterly Long-Term Debt Repayments spans a low of $7,884 in Q1 2026 and a high of $680,880 in Q4 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.79 Bn | 217.37 Bn | 4.43 Bn | 26.00 Mn |
| 2 | Corning | 106.66 Bn | 99.23 Bn | 1.63 Bn | 678.00 Mn |
| 3 | Sherwin Williams | 84.26 Bn | 83.30 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 68.55 Bn | 63.74 Bn | 1.04 Bn | 74.10 Mn |
| 5 | LyondellBasell Industries | 42.27 Bn | 31.78 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.55 Bn | 30.38 Bn | 3.25 Bn | -36.00 Mn |
| 7 | Ppg Industries | 25.18 Bn | 17.84 Bn | 1.81 Bn | - |
| 8 | International Flavors & Fragrances | 23.86 Bn | 21.52 Bn | 853.00 Mn | - |
| 9 | Dow | 22.91 Bn | 6.41 Bn | 2.17 Bn | 214.00 Mn |
| 10 | CitroTech | 57.21 Mn | 37.94 Mn | 9,038.00 | 21,710.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21,710.00 |
| Mar 31, 2026 | 7,884.00 |
| Dec 31, 2025 | 49,371.00 |
| Jun 30, 2025 | 25,000.00 |
| Mar 31, 2025 | 215,625.00 |
| Dec 31, 2024 | 704,187.00 |
| Jun 30, 2024 | 60,000.00 |
| Dec 31, 2023 | 125,000.00 |
| Jun 30, 2022 | 8,397.00 |
| Mar 31, 2022 | 47,323.00 |
CitroTech Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=CITR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=CITR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();