Latch (LTCH) Total Non-Current Liabilities (2020 - 2026)
Latch (LTCH) recorded Total Non-Current Liabilities of $45.67 million in Q2 2026, down 24.5% from $60.48 million a year earlier but up 1.4% from the prior quarter.
Latch (LTCH) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Latch reported Total Non-Current Liabilities of $46.71 million, down 43.7% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -28.2% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $82.99 million in FY2024 (-32.6%), $123.08 million in FY2023 (+62.6%), $75.68 million in FY2022 (+15.0%) and $65.82 million in FY2021 (-73.1%).
- Quarterly Total Non-Current Liabilities has ranged from $45.04 million in Q1 2026 to $123.08 million in Q4 2023 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined for nine consecutive quarters, with an average decline of 31.9% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 110.8% in Q2 2022, against a decline of 73.1% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $45.04 million (Q1 2026), $46.71 million (Q4 2025) and $53.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 52.40 Bn | 24.65 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 26.20 Bn | 22.97 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Ptc | 22.24 Bn | 21.06 Bn | 490.47 Mn | 2.94 Bn |
| 5 | Toast | 18.79 Bn | 11.46 Bn | 516.00 Mn | 1.10 Bn |
| 6 | Trimble | 14.79 Bn | 13.85 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Manhattan Associates | 13.95 Bn | 12.94 Bn | 168.33 Mn | 528.94 Mn |
| 8 | Costar | 13.71 Bn | 7.66 Bn | 728.00 Mn | 2.16 Bn |
| 9 | Bentley Systems | 12.37 Bn | 11.82 Bn | 336.74 Mn | 2.26 Bn |
| 10 | Latch | 25.47 Mn | -103.79 Mn | 7.66 Mn | 45.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.67 Mn |
| Mar 31, 2026 | 45.04 Mn |
| Dec 31, 2025 | 46.71 Mn |
| Sep 30, 2025 | 53.56 Mn |
| Jun 30, 2025 | 60.48 Mn |
| Mar 31, 2025 | 71.72 Mn |
| Dec 31, 2024 | 82.99 Mn |
| Sep 30, 2024 | 83.57 Mn |
| Jun 30, 2024 | 85.47 Mn |
| Mar 31, 2024 | 103.40 Mn |
| Dec 31, 2023 | 123.08 Mn |
| Sep 30, 2023 | 106.46 Mn |
| Jun 30, 2023 | 90.42 Mn |
| Mar 31, 2023 | 73.67 Mn |
| Dec 31, 2022 | 75.50 Mn |
| Sep 30, 2022 | 76.96 Mn |
| Jun 30, 2022 | 79.56 Mn |
| Mar 31, 2022 | 69.65 Mn |
| Dec 31, 2021 | 65.82 Mn |
| Sep 30, 2021 | 44.78 Mn |
Latch 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=LTCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "LTCH", "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=LTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();