National Health Investors (NHI) Operating Expenses (2009 - 2026)
National Health Investors (NHI) reported Operating Expenses of $87.28 million for Q2 2026, up 57.0% from $55.61 million a year earlier and up 11.9% from the prior quarter.
National Health Investors (NHI) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, National Health Investors' Operating Expenses came in at $292.65 million, up 32.7% year-over-year; for FY2025, it came in at $238.96 million, up 12.8% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $211.88 million in FY2024 (+5.5%), $200.88 million in FY2023 (-16.9%), $241.86 million in FY2022 (+11.9%) and $216.14 million in FY2021 (+33.6%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q2 2009.
- Year over year, Operating Expenses has now increased in each of the last ten quarters, with growth averaging 20.2% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 75.0%); the low point was Q4 2023 (a decline of 28.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $78.03 million (Q1 2026), $69.79 million (Q4 2025) and $57.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 1.47 Bn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 900.79 Mn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 766.20 Mn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | 566.18 Mn |
| 10 | National Health Investors | 3.22 Bn | 3.23 Bn | - | 87.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.28 Mn |
| Mar 31, 2026 | 78.03 Mn |
| Dec 31, 2025 | 69.79 Mn |
| Sep 30, 2025 | 57.56 Mn |
| Jun 30, 2025 | 55.61 Mn |
| Mar 31, 2025 | 56.01 Mn |
| Dec 31, 2024 | 54.19 Mn |
| Sep 30, 2024 | 54.80 Mn |
| Jun 30, 2024 | 51.77 Mn |
| Mar 31, 2024 | 51.12 Mn |
| Dec 31, 2023 | 49.52 Mn |
| Sep 30, 2023 | 52.01 Mn |
| Jun 30, 2023 | 49.74 Mn |
| Mar 31, 2023 | 49.60 Mn |
| Dec 31, 2022 | 69.11 Mn |
| Sep 30, 2022 | 56.93 Mn |
| Jun 30, 2022 | 49.61 Mn |
| Mar 31, 2022 | 66.21 Mn |
| Dec 31, 2021 | 68.85 Mn |
| Sep 30, 2021 | 62.37 Mn |
National Health Investors 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=NHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NHI", "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=NHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();