When a film releases in cinemas/theaters, production studios and streaming companies have a buffer of time before the film officially releases in streaming.

That buffer period is termed as the theatrical window.

“How has this window changed for Indian films from 2016 to 2026 – and does a shorter window mean worse box office performance?”

• 77 films analyzed across two Indian languages which house the largest film industries in the country: Telugu and Hindi (2016-2026)

• Data sourced from TMDB API and a manual OTT (over-the-top) platform release search.

• Statistical method: Correlation & Linear Regression

##                    title release_year theatrical_window_days box_office_usd
## 1                Airlift         2016                    367       32000000
## 2                 Dangal         2016                    181      311000000
## 3                    Fan         2016                     87       28000000
## 4                 Rustom         2016                     91       26309214
## 5                 Sultan         2016                    135      102000000
## 6  Badrinath Ki Dulhania         2017                     56       26134309
## 7          Golmaal Again         2017                     53       37000000
## 8           Hindi Medium         2017                     63       52390000
## 9               Judwaa 2         2017                     56       34500000
## 10      Secret Superstar         2017                     91      137416709

Does a shorter theatrical window mean lower box-office revenue?

To answer this, we measure the linear relationship between, – \(x\) = theatrical window (in days), \(y\) = box office revenue (USD)

We can use, Pearson’s Correlation Coefficient: \[r = \frac{\sum_{i=1}^{n}(x_i - \bar{x})(y_i - \bar{y})}{\sqrt{\sum_{i=1}^{n}(x_i - \bar{x})^2 \cdot \sum_{i=1}^{n}(y_i - \bar{y})^2}}\] \(r\) ranges from \(-1\) to \(+1\)

• \(r > 0\) → longer window, higher box office
• \(r < 0\) → shorter window, higher box office
  
• \(r \approx 0\) → no linear relationship

If correlation exists, we can model it with a regression line:

\[\hat{y} = \beta_0 + \beta_1 x\] [y = c + mx]

Where:
- \(\hat{y}\) = predicted box office revenue, \(x\) = theatrical window in days, \(\beta_1\) = slope — how much box office changes per extra day of window, \(\beta_0\) = intercept — predicted revenue when window = 0

In R code, this is simply: \[\texttt{lm(box\_office\_usd \sim theatrical\_window\_days)}\]

The slope \(\beta_1\) tells us the story.

• The average theatrical window dropped from 126 days (2016) to 28 days (2021)
• Post-pandemic recovery stabilized around 46–49 days (2022–2026)
• Pearson’s r suggests a moderate positive correlation — longer windows do tend to mean higher box office.
• But the relationship is not deterministic — some films with short windows still earned big.
• COVID-19 (2020–21) was the inflection point: studios used streaming as a survival strategy.

“A film that arrives on OTT fast probably flopped in theaters.”

Partially. The data supports the intuition — but it’s more nuanced:

• Short windows correlate with lower box office, not cause
• Streaming platforms now negotiate OTT rights before release
• A short window can mean a flop or a strategic deal
• The theatrical window is shrinking industry-wide — even hits arrive faster now

The window is no longer just a signal of failure. It’s a business decision.

“It’s never a flop.” Thank you!