Harrow (HROW) EBITDA (2010 - 2026)
Harrow's EBITDA came in at -$5.02 million for Q2 2026, compared with $16.13 million a year earlier.
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Analysis
Harrow (HROW) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Harrow reported EBITDA of $18.32 million, down 41.8% year-over-year; for FY2025, it came in at $49.42 million, up 120.1% from FY2024.
- EBITDA has increased in each of the last five years, with a five-year compound annual growth rate of 82.6% (FY2020 to FY2025).
- Going back by year, EBITDA was $22.46 million in FY2024 (+86.5%), $12.04 million in FY2023 (+142.1%), $4.97 million in FY2022 (+42.4%) and $3.49 million in FY2021 (+43.6%).
- The five-year range for quarterly EBITDA is -$16.5 million (Q1 2026) to $20.37 million (Q4 2025).
- Year-over-year, EBITDA increased in three of the last four quarters, with growth averaging 151.5%.
- The fastest year-over-year change in EBITDA over five years came in Q3 2023 (growth of 759.0%), and the weakest in Q2 2022 (a decline of 45.6%).
- Business Quant data shows HROW's EBITDA at -$16.5 million (Q1 2026), $20.37 million (Q4 2025) and $19.46 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 9.10 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 8.33 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 999.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 5.09 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 4.63 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -9.70 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 5.89 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 1.30 Bn |
| 10 | Harrow | 1.18 Bn | 858.40 Mn | 50.36 Mn | -5.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.02 Mn |
| Mar 31, 2026 | -16.50 Mn |
| Dec 31, 2025 | 20.37 Mn |
| Sep 30, 2025 | 19.46 Mn |
| Jun 30, 2025 | 16.13 Mn |
| Mar 31, 2025 | -6.54 Mn |
| Dec 31, 2024 | 17.44 Mn |
| Sep 30, 2024 | 4.42 Mn |
| Jun 30, 2024 | 4.53 Mn |
| Mar 31, 2024 | -3.94 Mn |
| Dec 31, 2023 | -1.99 Mn |
| Sep 30, 2023 | 4.73 Mn |
| Jun 30, 2023 | 5.59 Mn |
| Mar 31, 2023 | 3.71 Mn |
| Dec 31, 2022 | -1.01 Mn |
| Sep 30, 2022 | 551,000.00 |
| Jun 30, 2022 | 2.51 Mn |
| Mar 31, 2022 | 2.92 Mn |
| Dec 31, 2021 | -1.27 Mn |
| Sep 30, 2021 | -3.28 Mn |
API Access
Harrow EBITDA 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=ebitda&ticker=HROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "HROW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();