Latch (LTCH) Operating Expenses (2020 - 2026)
Latch (LTCH) recorded Operating Expenses of $14.87 million in Q2 2026, down 5.7% from $15.78 million a year earlier but up 8.1% from the prior quarter.
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Analysis
Latch (LTCH) Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Latch's Operating Expenses came in at $73.92 million as of Jun 30, 2026, down 0.8% year-over-year; for FY2025, it came in at $79.57 million, down 5.7% from FY2024.
- Annual Operating Expenses has declined for three straight years, though with a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $84.41 million in FY2024 (-31.1%), $122.59 million in FY2023 (-24.0%), $161.32 million in FY2022 (+11.7%) and $144.45 million in FY2021 (+138.7%).
- Quarterly Operating Expenses has ranged from $13.76 million in Q1 2026 to $56.17 million in Q4 2021 over the past five years.
- On a year-over-year basis, Operating Expenses rose in 1 of the last eight quarters, with an average decline of 10.5%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 241.7% in Q4 2021, against a decline of 52.4% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.76 million (Q1 2026), $31.24 million (Q4 2025) and $14.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 52.40 Bn | 24.65 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 26.20 Bn | 22.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Ptc | 22.24 Bn | 21.06 Bn | 490.47 Mn | 323.96 Mn |
| 5 | Toast | 18.79 Bn | 11.46 Bn | 516.00 Mn | 364.00 Mn |
| 6 | Trimble | 14.79 Bn | 13.85 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Manhattan Associates | 13.95 Bn | 12.94 Bn | 168.33 Mn | 231.56 Mn |
| 8 | Costar | 13.71 Bn | 7.66 Bn | 728.00 Mn | 652.00 Mn |
| 9 | Bentley Systems | 12.37 Bn | 11.82 Bn | 336.74 Mn | 248.13 Mn |
| 10 | Latch | 25.47 Mn | -103.79 Mn | 7.66 Mn | 14.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.87 Mn |
| Mar 31, 2026 | 13.76 Mn |
| Dec 31, 2025 | 31.24 Mn |
| Sep 30, 2025 | 14.04 Mn |
| Jun 30, 2025 | 15.78 Mn |
| Mar 31, 2025 | 18.50 Mn |
| Dec 31, 2024 | 16.77 Mn |
| Sep 30, 2024 | 23.46 Mn |
| Jun 30, 2024 | 23.73 Mn |
| Mar 31, 2024 | 20.45 Mn |
| Dec 31, 2023 | 22.00 Mn |
| Sep 30, 2023 | 34.70 Mn |
| Jun 30, 2023 | 35.25 Mn |
| Mar 31, 2023 | 30.64 Mn |
| Dec 31, 2022 | 26.73 Mn |
| Sep 30, 2022 | 34.48 Mn |
| Jun 30, 2022 | 47.26 Mn |
| Mar 31, 2022 | 52.86 Mn |
| Dec 31, 2021 | 56.17 Mn |
| Sep 30, 2021 | 33.06 Mn |
API Access
Latch Operating Expenses 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=operating-expenses&ticker=LTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();