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.
Powered by 
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 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 12.29 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 9.10 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 8.33 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 999.00 Mn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 5.09 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 4.63 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | -9.70 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 5.89 Bn |
| 10 | Harrow | 1.05 Bn | 724.54 Mn | 50.36 Mn | -4.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.62 Mn |
| Mar 31, 2026 | -16.05 Mn |
| Dec 31, 2025 | 20.73 Mn |
| Sep 30, 2025 | 20.59 Mn |
| Jun 30, 2025 | 17.42 Mn |
| Mar 31, 2025 | -5.27 Mn |
| Dec 31, 2024 | 18.66 Mn |
| Sep 30, 2024 | 5.46 Mn |
| Jun 30, 2024 | 5.51 Mn |
| Mar 31, 2024 | -2.97 Mn |
| Dec 31, 2023 | -463,000.00 |
| Sep 30, 2023 | 5.68 Mn |
| Jun 30, 2023 | 6.46 Mn |
| Mar 31, 2023 | 4.47 Mn |
| Dec 31, 2022 | -816,000.00 |
| Sep 30, 2022 | 748,000.00 |
| Jun 30, 2022 | 2.71 Mn |
| Mar 31, 2022 | 3.12 Mn |
| Dec 31, 2021 | -1.08 Mn |
| Sep 30, 2021 | -3.08 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();