International Money Express (IMXI) Total Non-Current Liabilities (2017 - 2026)
International Money Express (IMXI) reported Total Non-Current Liabilities of $134.26 million for Q2 2026, down 16.2% from $160.28 million a year earlier and down 48.6% from the prior quarter.
International Money Express (IMXI) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, International Money Express posted Total Non-Current Liabilities of $215.68 million, up 22.9% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 21.6% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $175.46 million in FY2024 (-14.2%), $204.4 million in FY2023 (+15.2%), $177.4 million in FY2022 (+120.0%) and $80.64 million in FY2021 (-0.8%).
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q1 2023.
- Year over year, Total Non-Current Liabilities gained in three of the last eight quarters, with growth averaging 0.3%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2023 (growth of 161.4%); the low point was Q2 2025 (a decline of 28.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $261.42 million (Q1 2026), $215.68 million (Q4 2025) and $175.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Visa | 640.99 Bn | 584.31 Bn | - | 57.55 Bn |
| 2 | Mastercard | 480.27 Bn | 440.19 Bn | - | 47.50 Bn |
| 3 | Wise | 14.06 Bn | -73.72 Bn | - | - |
| 4 | Remitly Global | 4.52 Bn | 2.17 Bn | 307.34 Mn | 431.75 Mn |
| 5 | Western Union | 1.84 Bn | -2.17 Bn | 336.50 Mn | 6.70 Bn |
| 6 | International Money Express | 349.75 Mn | -270.40 Mn | - | 134.26 Mn |
| 7 | Currenc | 189.34 Mn | -37.59 Mn | 3.70 Mn | 5.15 Mn |
| 8 | Sentage Holdings | 4.71 Mn | 4.71 Mn | - | 1.84 Mn |
| 9 | American Express | 205.34 Bn | -2.83 Bn | - | 231.46 Bn |
| 10 | Capital One Financial | 118.54 Bn | 118.54 Bn | - | 530.44 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 134.26 Mn |
| Mar 31, 2026 | 261.42 Mn |
| Dec 31, 2025 | 215.68 Mn |
| Sep 30, 2025 | 175.54 Mn |
| Jun 30, 2025 | 160.28 Mn |
| Mar 31, 2025 | 164.88 Mn |
| Dec 31, 2024 | 175.46 Mn |
| Sep 30, 2024 | 158.19 Mn |
| Jun 30, 2024 | 223.61 Mn |
| Mar 31, 2024 | 171.86 Mn |
| Dec 31, 2023 | 204.40 Mn |
| Sep 30, 2023 | 217.93 Mn |
| Jun 30, 2023 | 213.02 Mn |
| Mar 31, 2023 | 118.52 Mn |
| Dec 31, 2022 | 177.40 Mn |
| Sep 30, 2022 | 120.33 Mn |
| Jun 30, 2022 | 81.50 Mn |
| Mar 31, 2022 | 83.22 Mn |
| Dec 31, 2021 | 80.64 Mn |
| Sep 30, 2021 | 81.55 Mn |
International Money Express Total Non-Current 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-non-current-liabilities&ticker=IMXI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "IMXI", "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-non-current-liabilities&ticker=IMXI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();