Harrow (HROW) Selling, General & Administrative (2010 - 2026)
Harrow's Selling, General & Administrative came in at $53.3 million for Q2 2026, up 60.4% from $33.24 million a year earlier and up 23.3% from the prior quarter.
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Analysis
Harrow (HROW) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Harrow reported Selling, General & Administrative of $175.69 million, up 23.6% year-over-year; for FY2025, it came in at $152.91 million, up 18.5% from FY2024.
- Selling, General & Administrative has increased in each of the last five years, with a five-year compound annual growth rate of 37.4% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $129.06 million in FY2024 (+55.3%), $83.09 million in FY2023 (+42.7%), $58.24 million in FY2022 (+41.0%) and $41.32 million in FY2021 (+32.2%).
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative in data going back to Q2 2010.
- Year-over-year, Selling, General & Administrative has increased for 21 consecutive quarters, with growth averaging 29.5% over the last eight quarters.
- The year-over-year growth in Selling, General & Administrative has ranged between 4.5% (Q2 2025) and 81.4% (Q1 2024) over the last five years.
- Business Quant data shows HROW's Selling, General & Administrative at $43.23 million (Q1 2026), $43.31 million (Q4 2025) and $35.86 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Harrow | 1.15 Bn | 821.29 Mn | 50.36 Mn | 53.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.30 Mn |
| Mar 31, 2026 | 43.23 Mn |
| Dec 31, 2025 | 43.31 Mn |
| Sep 30, 2025 | 35.86 Mn |
| Jun 30, 2025 | 33.24 Mn |
| Mar 31, 2025 | 40.51 Mn |
| Dec 31, 2024 | 34.79 Mn |
| Sep 30, 2024 | 33.65 Mn |
| Jun 30, 2024 | 31.82 Mn |
| Mar 31, 2024 | 28.81 Mn |
| Dec 31, 2023 | 26.21 Mn |
| Sep 30, 2023 | 21.03 Mn |
| Jun 30, 2023 | 19.96 Mn |
| Mar 31, 2023 | 15.89 Mn |
| Dec 31, 2022 | 15.24 Mn |
| Sep 30, 2022 | 15.42 Mn |
| Jun 30, 2022 | 14.19 Mn |
| Mar 31, 2022 | 13.40 Mn |
| Dec 31, 2021 | 12.67 Mn |
| Sep 30, 2021 | 11.36 Mn |
API Access
Harrow Selling, General & Administrative 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=selling-general-and-administrative&ticker=HROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();