Tecnoglass Holdings (TGLS) Operating Expenses (2011 - 2026)
Tecnoglass Holdings (TGLS) posted Operating Expenses of $73.49 million for Q2 2026, up 38.3% from $53.14 million a year earlier and up 44.4% from the prior quarter.
Tecnoglass Holdings (TGLS) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Tecnoglass Holdings was $225.09 million, up 27.5% year-over-year; for FY2025, it came in at $196.31 million, up 28.3% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 21.6% (FY2020 to FY2025).
- In prior years, Tecnoglass Holdings' Operating Expenses was $152.97 million in FY2024 (+16.6%), $131.17 million in FY2023 (+6.6%), $123.08 million in FY2022 (+43.8%) and $85.6 million in FY2021 (+16.1%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2016.
- On a year-over-year basis, Operating Expenses has increased in each of the last nine quarters, with growth averaging 29.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2022, with growth of 62.3%; the weakest was Q3 2023, with a decline of 16.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $50.89 million (Q1 2026), $53.41 million (Q4 2025) and $47.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn | 210.70 Mn |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn | 262.80 Mn |
| 10 | Tecnoglass Holdings | 1.69 Bn | 1.29 Bn | 110.03 Mn | 73.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.49 Mn |
| Mar 31, 2026 | 50.89 Mn |
| Dec 31, 2025 | 53.41 Mn |
| Sep 30, 2025 | 47.30 Mn |
| Jun 30, 2025 | 53.14 Mn |
| Mar 31, 2025 | 42.47 Mn |
| Dec 31, 2024 | 39.35 Mn |
| Sep 30, 2024 | 41.54 Mn |
| Jun 30, 2024 | 38.44 Mn |
| Mar 31, 2024 | 33.64 Mn |
| Dec 31, 2023 | 32.41 Mn |
| Sep 30, 2023 | 29.52 Mn |
| Jun 30, 2023 | 35.17 Mn |
| Mar 31, 2023 | 34.08 Mn |
| Dec 31, 2022 | 33.41 Mn |
| Sep 30, 2022 | 35.16 Mn |
| Jun 30, 2022 | 28.15 Mn |
| Mar 31, 2022 | 26.37 Mn |
| Dec 31, 2021 | 23.70 Mn |
| Sep 30, 2021 | 21.66 Mn |
Tecnoglass Holdings 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=TGLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TGLS", "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=TGLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();