Larimar Therapeutics (LRMR) Selling, General & Administrative (2013 - 2026)
Larimar Therapeutics (LRMR) reported Selling, General & Administrative of $6.35 million for Q2 2026, up 43.6% from $4.42 million a year earlier.
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Analysis
Larimar Therapeutics (LRMR) Selling, General & Administrative (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Larimar Therapeutics' Selling, General & Administrative came in at $19.99 million, up 11.3% year-over-year; for FY2025, it came in at $18.27 million, up 3.8% from FY2024.
- Selling, General & Administrative has increased for six consecutive years, with a five-year compound annual growth rate of 9.9% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $17.61 million in FY2024 (+25.0%), $14.09 million in FY2023 (+14.8%), $12.28 million in FY2022 (+1.7%) and $12.07 million in FY2021 (+5.9%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to Q2 2013.
- Year over year, Selling, General & Administrative gained in six of the last seven quarters, with growth averaging 15.5%.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2026 (growth of 43.6%); the low point was Q4 2021 (a decline of 26.9%).
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 | Larimar Therapeutics | 317.88 Mn | -289.20 Mn | - | 6.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.35 Mn |
| Dec 31, 2025 | 4.65 Mn |
| Sep 30, 2025 | 4.57 Mn |
| Jun 30, 2025 | 4.42 Mn |
| Mar 31, 2025 | 4.64 Mn |
| Dec 31, 2024 | 4.56 Mn |
| Sep 30, 2024 | 4.35 Mn |
| Jun 30, 2024 | 4.92 Mn |
| Mar 31, 2024 | 3.80 Mn |
| Dec 31, 2023 | 3.51 Mn |
| Sep 30, 2023 | 3.75 Mn |
| Jun 30, 2023 | 3.75 Mn |
| Mar 31, 2023 | 3.08 Mn |
| Dec 31, 2022 | 3.22 Mn |
| Sep 30, 2022 | 2.93 Mn |
| Jun 30, 2022 | 3.04 Mn |
| Mar 31, 2022 | 3.08 Mn |
| Dec 31, 2021 | 2.79 Mn |
| Sep 30, 2021 | 2.70 Mn |
| Jun 30, 2021 | 3.44 Mn |
API Access
Larimar Therapeutics 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=LRMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "LRMR", "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=LRMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();